This page tracks remote data engineer openings that are location-eligible for Alabama.
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Role Description New England Life Care is seeking a qualified Data Warehouse Developer to support the design, development, and ongoing maintenance of the organization’s enterprise data warehouse and analytics infrastructure. The Data Warehouse Developer will play a key role in building scalable data warehouse architecture, dimensional data models, and data integration pipelines that support enterprise reporting, analytics, and operational decision-making. This role will work closely with business stakeholders, analysts, and application teams to transform data from multiple operational systems into reliable and accessible information for business intelligence platforms. The ideal candidate will possess strong SQL development skills, ETL experience, and expertise in dimensional modeling (star and snowflake schemas) to support reporting and analytics initiatives across the organization. Qualifications - Bachelor’s degree in computer science, information systems, engineering, or other related discipline and/or equivalent combination of education and relevant experience. - 3+-7+ years of experience in data warehouse development. - Strong experience with Microsoft SQL Server or other enterprise relational databases. - Experience developing ETL pipelines using SSIS, Azure Data Factory, or comparable ETL tools. - Demonstrated experience designing and implementing dimensional data models. - Strong experience designing fact tables, dimension tables, surrogate keys, and slowly changing dimensions (SCD). - Advanced SQL development and query optimization skills. - Experience working with large datasets and complex data transformations. - Experience supporting business intelligence and reporting platforms such as Power BI, Tableau, or similar tools. Requirements - Knowledge of HIPAA Privacy and Security requirements. - Working knowledge of federal/state fraud and abuse laws required. - Valid driver’s license with excellent driving record required. Benefits - Health Insurance - Dental Insurance - Vision Insurance - Generous employer-matched 403b savings program - Company paid: Life insurance, Short- and long-term disability insurance - Paid Time Off - And much more! Additional Job-Related Duties - Design, develop, and maintain the enterprise data warehouse architecture to support reporting, analytics, and business intelligence initiatives. - Develop dimensional data models including fact tables, dimension tables, surrogate keys, and slowly changing dimensions using industry best practices. - Design and implement ETL/ELT pipelines to extract, transform, and load data from multiple operational systems into staging, transformation, and warehouse layers. - Ensure efficient processing on an ongoing basis including data consistency of data attributes, naming conventions, and element value types. - Optimize SQL queries, indexing strategies, and database performance to ensure efficient data retrieval and warehouse processing. - Automate, schedule, and monitor data integration jobs to ensure reliable and consistent data loading processes. - Ensure data accuracy, consistency, and integrity by implementing validation checks and reconciliation processes between source systems and the data warehouse. - Collaborate with business analysts, data analysts, and technical teams to translate business requirements into scalable data models and warehouse solutions. - Provide technical expertise for business intelligence and reporting tools such as Microsoft Power BI and other analytics platforms. - Document data warehouse architecture, data models, ETL processes, and data definitions to support long-term maintainability and governance. - Identify opportunities to improve data integration processes, warehouse performance, and reporting capabilities. - Support ongoing data governance and data quality initiatives across the organization. - Follow New England Life Care policies and procedures in the normal conduct of company business. - Maintain a strong understanding of software development lifecycle (SDLC) and data engineering best practices. - Ensure professional practices comply with HIPAA Privacy and Security regulations and the organization’s Corporate Compliance Program. - Build strong working relationships across departments and collaborate effectively with business and technical teams. - Demonstrate strong problem-solving skills by identifying data issues, diagnosing root causes, and implementing effective solutions. - Participate in the company Performance Improvement Program and provide recommendations for improvements based on data insights. - Assist in training or mentoring staff on data warehouse concepts, reporting tools, or data access processes as needed. - Participate in ongoing professional development through departmental meetings, technical training, and industry learning opportunities. - Perform additional duties or special projects as assigned by the direct supervisor. - Travel to remote sites as needed.
Enabling smarter investment decisions and better client communications.
Description The Company YCharts empowers wealth managers to make smarter investment decisions and communicate with confidence. Our SaaS platform combines powerful research, proposal generation, and client communication tools that transform complex financial data into clear visuals and actionable insights. For nearly a decade, YCharts has been recognized on the Inc. 5000 Fastest Growing Companies list - a testament to our sustained growth, strong culture, and industry-wide impact. Thousands of leading RIAs, asset managers, and broker-dealers use YCharts to turn data into decisions, insights into action, and client conversations into growth. The Position: Work with technologies that ensure our data pipeline efficiently maintains and calculates data for the 7 million+ securities in our universe. Work on features that ensure financial data is consistent, reliable, timely and accurate by importing data from third party data providers and performing custom calculations on this imported data, with day-to-day emphasis on database load management, caching strategies, memory efficiency, and query optimization. Key Responsibilities - Write code (and unit tests!) in Python and the Django framework to implement complex backend features. - Use tools like Airflow to build / enhance financial data pipelines for over 7 million securities. - Make use of pandas and asynchronous task tools like celery to efficiently calculate 4,000+ unique data points for each security. - Profile and optimize database queries - analyze query plans, design effective indexes, and eliminate N+1s and slow paths that don't hold up under production load. - Manage database load - reason about read/write patterns, connection usage, replica strategy, and batching to keep the data tier healthy as volume grows. - Design and tune caching layers to reduce redundant computation and database pressure while keeping data fresh and correct. - Design robust, scalable data models that account for the structure, type, and volume of data to store, and how it will be queried. - Investigate and resolve performance regressions and incidents - using metrics, profiling, and monitoring to find root causes. - Design, plan, estimate, and ticket features that are scoped by our product team. - Perform code reviews for other engineers on the team. - Document the work you have done both in repo as well as outside of the repo for future engineers. - Collaborate with other engineers both verbally and in writing to plan, design, and build a world-class financial research platform. Qualifications and Experience - 2+ years of relevant industry or academic experience - Experience developing in Python (knowledge of the Django framework a plus) - Experience designing, building and maintaining application features on the backend - Experience working with relational databases, including writing and optimizing queries and reasoning about indexing and query performance - Experience participating in multi-month projects from conception to maintenance with multiple team members - Familiarity with caching, and strategies for managing database and memory load at scale a plus - Experience working with large datasets and an interest in the performance and efficiency challenges that come with them - Desire to take ownership and responsibility when a problem or opportunity arises - Experience working with non-technical teams (product, business, etc) where explaining technical concepts is needed - Self-organized and able to work independently Benefits & Perks - 100% employer-paid health, dental, and vision insurance. - 401(k) match to support your financial future. - Opportunities for internal mobility and cross-functional collaboration. - Flexible time off, vacation days, sick days, and a celebration day. - Paid parental leave to support work-life balance. - Professional development stipend to help you grow in your career. - Hybrid work schedule with flexibility to work both in-office and remotely. - Summer hours so you can enjoy more sunshine. - Recognition programs to celebrate contributions and milestones. - Modern, centrally located offices stocked with premium snacks, coffee, beverages and weekly lunch credits to fuel your day. - Regular team events, celebrations, and company-wide gatherings that keep our culture connected and collaborative. Compensation At YCharts, we are committed to pay equity and transparency in all locations, including compliance with local pay disclosure requirements: the base salary range is $120,000 - $160,000 USD, with starting salary based on skills and experience. Why Join YCharts YCharts is more than a fintech company-we're a team driven by curiosity, collaboration, and people-first leadership. We believe innovation thrives in an environment where ideas are heard, growth is supported, and impact is measurable. Our award-winning culture reflects that commitment: - Inc. 5000 Fastest Growing Companies (nearly a decade running) - Crain's Best Places to Work in Chicago - Inc. Best Places to Work - Built In Chicago Best Places to Work - American Banker Best Fintechs to Work For At YCharts, you'll do meaningful work, grow alongside a talented team, and see the results of your impact every day. YCharts is an equal opportunity employer. We celebrate diversity and are committed to fostering an inclusive, equitable environment for all employees. Be part of the team transforming how the wealth management industry makes and communicates investment decisions. Salary Description $120,000 - $160,000
• Partner with Enterprise Architects, Senior Architects, and cross functional teams, including business stakeholders, to shape solution architectures aligned to a unified IT data strategy. • Contribute to Empower’s technology roadmap by documenting target state architectures, reference architectures, and key dependencies for supported initiatives. • Design and support modernization and migration of complex systems to scalable, secure, and cost optimized cloud architectures, working with delivery teams through implementation. • Evaluate and prototype new technologies and applications, challenge existing approaches constructively, and provide input into business cases and recommendations. • Apply and help operationalize architectural standards, best practices, and governance expectations, supporting consistent adoption through guidance and enablement. • Collaborate closely with business and engineering teams to design end to end solutions that meet strategic, technical, and operational objectives. • Provide architectural guidance in process design, system orchestration, and enterprise integration to enable cohesive and efficient technology ecosystems. • Champion security, resilience, and scalability as core design principles across data platforms and data solutions. • Contribute to architecture discipline maturity by producing reusable patterns, decision documentation, and lessons learned that improve consistency and delivery speed. • Support full stack development teams through solution design and implementation, improving long term scalability, performance, and cost outcomes.
ServiceNow provides cloud-based services that automate enterprise information technology operations. As an employer, ServiceNow offers a challenging, collaborat
Role Description As Principal Engineer for Data Platform Modernization, you will be the foundational architect for the GCS Data Warehouse and everything upstream of the query layer: - Design the GCS Data Warehouse, the modern lakehouse foundation (Trino, Iceberg, dbt, a modern catalog) that replaces the existing Cloudera-based platform. - Lead the one-year program to move GCS data off Cloudera (Impala, Hive, HDFS, Hive Metastore) so the organization can decommission it rather than renew. - Design one portable architecture that deploys independently into commercial and regulated environments. - Own the ingestion architecture: change data capture from primary source systems, transactional PostgreSQL databases, landed into Iceberg. - Own the streaming layer that carries changes, assessing Kafka and deciding whether to keep or replace it. - Define the data and schema translation approach: Hive and Impala schemas onto Iceberg tables. - Set the correctness bar: reconcile new outputs against the source platform as ground truth. - Design data governance and security on the lakehouse. - Help design the platform's operational model: SLOs, observability, runbooks, and on-call approach. - Establish engineering standards for reliability, determinism, observability, and production readiness. - Lead through influence, aligning engineers to the target architecture. - Navigate enterprise constraints, security, compliance, and approval processes. - Drive the responsible use of AI and ML tooling to accelerate migration, translation, and validation work. Qualifications - 15+ years of experience in software or data engineering. - Proven experience leading a large data platform migration or modernization off a legacy Hadoop or Cloudera stack. - Experience architecting for regulated or government cloud environments. - Deep expertise across the modern data stack (Trino/Presto, dbt, Apache Iceberg). - Hands-on experience designing streaming ingestion and change data capture. - Working knowledge of streaming platforms (Apache Kafka or comparable). - Proven track record as the lead architect or top technical authority for a platform. - Strong systems and backend engineering depth. - Demonstrated ability to operate at high velocity in greenfield environments. - Strong knowledge of data structures, algorithms, data modeling, design patterns, and performance optimization. - Full professional proficiency in English. Requirements - Experience leveraging or critically thinking about how to integrate AI into work processes. - Deep understanding of software quality principles including reliability, determinism, observability, security, and production readiness. - Ability to troubleshoot and reason about complex distributed systems. - Comfort with development tools such as IDEs, debuggers, profilers, source control, and Unix-based systems. Benefits - Base pay of $221,200 - $387,100, plus equity (when applicable), variable/incentive compensation, and benefits. - Health plans, including flexible spending accounts. - 401(k) Plan with company match. - ESPP and matching donations. - Flexible time away plan and family leave programs.
Role Description As Sr. Data Engineer II, you’ll work with a cross-functional team to help design and ingest data from different Object Management Systems that support mission operations for our classified customer. What you’ll do: - Work with AI team members to operationalize data pipelines and ML tasks. - Provide day-to-day support of deploying Python-native ML pipelines and perform data engineering tasks to enable AI/ML capabilities. - Present results to a diverse audience in presentation or report form. - Support architectural leadership, technical support, and advisement services to ensure identity management system technologies are integrated and meeting the appropriate security requirements. - Support leadership who engage with senior level executives at a public facing Federal agency and provide subject matter expertise in security architecture and other key domain areas. Qualifications - Minimum 7 years' experience in Data/ML Engineering. - Bachelor's Degree in Computer Science, Information Technology Management or Engineering, or other comparable degree or experience. - Must have an active Secret clearance/T1 background investigation or higher. - Strong Experience with ETL, data labeling, and data preparation. - Experience with one or more of the following technologies: Cloudera, DataBricks, Snowflake, NiFi, Python, SQL, Kafka. - Strong experience designing, developing, and deploying data solutions in classified AWS cloud environments up to IL6+. - Strong experience designing, implementing, and maintaining data architecture and services to be used for AI/ML. - Strong communication skills, ability to communicate technical concepts in both layman and technical terms to technical and non-technical stakeholders. Requirements - SALARY RANGE: $152,000 - $188,000. - The salary range for this position is determined based on qualifications, skills, and relevant experience. - The final salary offered will be determined based on several factors including: - The candidate's professional background and relevant work experience. - The specific responsibilities of the role and organizational needs. - Internal equity and alignment with current team compensation. - This role is also eligible for additional compensation, subject to the terms and policies of MetroStar, which may include: - Performance-based bonuses. - Company-paid training and/or certifications. - Referral bonuses. - To apply for this position, please submit your resume via the form below or through our careers page: MetroStar Careers . - Application Deadline: Applications will be accepted on a rolling basis until the position is filled; candidates are encouraged to apply as early as possible for full consideration. Benefits - Health, dental, and vision insurance. - 401(k) retirement plan with company match. - Paid time off (PTO) and holidays. - Parental Leave and dependent care. - Flexible work arrangements. - Professional development opportunities. - Employee assistance and wellness programs. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment based on merit and without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law. What we want you to know In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Not ready to apply now? Sign up to join our newsletter here .
Role Description We are seeking a Senior Data Engineer to join our Data & AI team. You will work within multidisciplinary project teams across a range of client engagements, contributing to the design and development of robust data infrastructure, data pipelines, and scalable data solutions. You think strategically, are comfortable with open-ended data problems, and can contribute meaningfully to client conversations about data architecture, modernization, and AI readiness. The ideal candidate is technically grounded, consulting-minded, and equally comfortable navigating ambiguity, working across disciplines, and communicating clearly with stakeholders at all levels. Travel for client and stakeholder meetings may be required depending on engagement. Key Responsibilities - Design, develop, and optimize data pipelines and data infrastructure across a range of client engagements. - Contribute to data modeling, master data management, and taxonomy standardization across complex, multi-system environments. - Build and test API integrations and prototypes, including working with static data exports and mock stubs in early-phase delivery contexts. - Document data governance artefacts - data domains, critical data elements, quality rules, and data lineage - and support clients in building data governance capability. - Reverse-engineer legacy systems and extract business logic from poorly documented codebases, complex spreadsheet models, or fragmented data structures. - Collaborate with architects, designers, product managers, and client stakeholders to align data solutions with broader digital product and platform goals. - Contribute to AI readiness assessments - evaluating data coverage, quality, schema consistency, and lineage to identify gaps and support remediation. - Perform code reviews, mentor junior team members, and contribute to best practices across the Data & AI team. - Communicate data architecture and pipeline design clearly using schemas, data flow diagrams, and visual artefacts, for both technical and non-technical audiences. Qualifications - 5+ years of data engineering experience, including delivery in a consulting or client-facing environment. - Proficiency in Python and SQL for data wrangling, transformation, and pipeline development. - Experience in data modeling - designing master data schemas and drafting unified taxonomies across fragmented source systems. - Master Data Management (MDM) experience: cleansing, mapping, and standardizing inconsistent data into a governed structure. - Experience building ETL/ELT pipelines and working with cloud data platforms (AWS, Azure, or GCP). - Experience documenting data governance artefacts and contributing to data governance frameworks. - Ability to reverse-engineer legacy systems and extract business logic from poorly documented codebases or complex Excel/VBA models. - Strong communication skills - able to translate technical decisions clearly for both technical and non-technical stakeholders. - Comfortable operating in ambiguity and structuring a path forward without perfect requirements. - Willing and able to ramp on new technologies as client engagements evolve. Nice to Have - Familiarity with Microsoft Azure services (Azure SQL, Cosmos DB, Azure DevOps). - Experience with API mock development or prototyping in early-phase delivery contexts. - Experience with ERP or supply chain data structures. - Experience modernizing legacy integrations (SOAP/WCF to REST). - Database consolidation or migration experience (SQLite, MSSQL, or cloud databases). - Familiarity with modern orchestration and transformation tools (Airflow, dbt, Dagster, Prefect). - Background in manufacturing, engineering, or cost modelling domains. - Familiarity with enterprise integration platforms such as MuleSoft. - Experience with machine learning or predictive analytics frameworks. Benefits - Continuing education opportunities - Flexible PTO and work-from-home policies - Pension - Health and dental benefits - Company lunches, company outings, along with a lot of snacks - Health and wellness programs - Other location specific perks (just ask!) Next Steps If Method sounds like the place for you, please submit an application. Also, let us know if you have a presence online with a portfolio, GitHub, Dribbble or other platform. By clicking the "Submit Application" button below, you give your express consent to process your data for this vacancy according to the Recruitment Privacy Notice. You can withdraw your consent at any time by contacting privacy@globallogic.com. You can find more information about how GlobalLogic processes your personal data and what your rights are in the Recruitment Privacy Notice.
Role Description - Conduct comprehensive reviews of more complex commercial loan closing packages to ensure accuracy, completeness, and compliance with internal policies and regulatory standards. - Validate data integrity through checklist-based audits, identifying and classifying critical and non-critical errors, and coordinating timely corrections with the booking team. - Monitor and report documentation discrepancies, partnering with Quality Control and Booking teams to resolve issues and maintain process alignment. - Maintain accurate loan logs and reporting, ensuring timely updates and proper transfer of completed booking packages for imaging and archival. - Support internal audits and quality assurance reviews, adhering to established SLS standards and meeting all performance metrics and KPIs. - Ensure compliance with all bank policies, procedures, and applicable regulations, embedding risk management and quality control into daily operations. - Participate in the training of new and more junior staff. Qualifications - Extensive knowledge of commercial lending and loan servicing and handling complex transactions. - Strong attention to detail with a focus on identifying discrepancies, ensuring data integrity, and maintaining compliance with internal policies. - Extensive knowledge of bank regulatory requirements. - Proficient PC skills including Microsoft Word and Excel. - Effective communication and organizational skills. - Ability to prioritize daily work assignments while working in a demanding environment is required. - Ability to meet deadlines defined by Bank and regulators. Requirements - High School diploma or GED equivalent with a minimum of 5 years of experience in a financial institution specializing in commercial loan operations and documentation and/or loan closing experience. Preferred Experience - Completion of college level courses in business administration and/or associate's degree.
The only fully integrated SecOps solution providing customers with a modular, customized cyber security platform
Role Description Invicta Software is seeking a detail-oriented and reliable Data Entry Assistant to join our dynamic team. This role is crucial in ensuring accurate and timely data management, supporting various departments to maintain high-quality information flow. If you have a keen eye for detail and enjoy working in a fast-paced environment, this opportunity offers a chance to contribute directly to our operational success. - Accurately input, update, and maintain data across multiple platforms and databases. - Support the team by verifying data integrity and resolving discrepancies. - Assist with organizing and managing digital and physical records to ensure accessibility and compliance. - Enter data from various sources into company systems with high accuracy and speed. - Review and verify data for completeness and correctness before submission. - Identify and correct errors or inconsistencies in data entries. - Maintain confidentiality and security of sensitive information. - Collaborate with team members to streamline data entry processes and improve efficiency. - Assist in generating reports and summaries as needed. - Perform routine backups to ensure data preservation. Qualifications - High school diploma or equivalent; additional certification in data management or related fields is a plus. - Proven experience in data entry or administrative support roles. - Proficiency with Microsoft Office Suite, especially Excel, and familiarity with database systems. - Strong attention to detail and ability to spot errors quickly. - Excellent organizational and time management skills. - Ability to work independently and as part of a team. - Good communication skills and a professional attitude. Benefits - Competitive salary and performance-based incentives. - Comprehensive health, dental, and vision insurance plans. - Opportunities for professional development and career growth. - Supportive and inclusive work environment. - Flexible work schedules and remote work options. - Paid time off and holiday benefits.
Role Description We are looking for a Corporate Data Architect who will help organize and standardize how the organization understands and uses data. Your main task will be to design and develop data architecture at the level of the entire organization so that data is consistent, well defined, and ready to be used in analytics, AI, and system integrations. You will act as a bridge between the worlds of business, data, and technology, connecting strategy, standards, and practice. - Design semantic, logical, and conceptual data models based on business domains and organizational processes. - Define and standardize the corporate data model as part of the Data Governance initiative. - Create and maintain reference architecture (logical and technical reference architectures) and design patterns for data domains. - Co-create the strategy and roadmap for data architecture development that supports the vision of the Data Governance program and organizational goals. - Collaborate with Data Governance, Data Management, Analytics, AI, and Data Engineering teams to integrate models with the data catalog and metadata management tools. - Support technical teams in implementing models in data layers. - Participate in designing data integration, flow, and quality processes (data lineage, data contracts, data quality). - Identify and certify authoritative data sources within organizational domains. - Monitor the compliance of data solutions with Data Governance policies and standards as well as architectural recommendations. - Support the resolution of data conflicts and issues. - Create architectural documentation, metamodels, and inter-domain relationship diagrams. - Consult on and develop good practices in the area of modeling, metadata, and information architecture. - Collaborate on defining the vision, priorities, and directions for the development of data architecture in the organization. Qualifications - Experience in data modeling (conceptual, logical, physical), preferably in a large organization or within complex data ecosystems. - Practical knowledge of tools and methodologies such as ER, UML, IDEF1X, Data Vault, 3NF, Kimball/Inmon. - Ability to work with data catalogs and metadata management tools (e.g. DataHub, Collibra, Alation, Atlan). - Knowledge of SQL and relational data models. - Experience working with database systems and data architecture in a cloud environment (AWS). - Ability to work with engineering and analytics teams to translate business needs into data models. - Understanding of data security, availability, and control principles. - Good command of English (reading documentation, community discussions). Requirements - Experience in Data Governance, Data Quality, Master Data, and Metadata Management projects. - Knowledge of concepts and technologies related to the semantic data layer: ontologies, RDF, OWL, GraphQL, dbt Semantic Layer, Semantic Kernel. - Knowledge of Python for automation, model validation, and API integrations. - Knowledge of event-driven data architecture. - Experience in creating and maintaining architectural documentation. Benefits - Flexible employment and remote work. - International projects with leading global clients. - International business trips. - Non-corporate atmosphere. - Language classes. - Internal & external training. - Private healthcare and insurance. - Multisport card. - Well-being initiatives.
Trilon Group provides smart and sustainable infrastructure solutions across transportation, water, energy, environment, and community sectors. The firm offers a
Data Engineer Department: IT Job Description: Employment Type: Full Time Location: Remote- USA Compensation: $116,000 - $155,000 / year Description Trilon is building a supercharged, technology-enabled future for our people and partners. The Data Engineer plays a key role in that mission by building and maintaining the data platform that powers Trilon's enterprise analytics, automation, and AI capabilities. Reporting to the Vice President, Data & DevOps, this role is responsible for designing, developing, and maintaining scalable data integrations and transformations in Azure and Microsoft Fabric. The Data Engineer ensures that Trilon's data platform delivers reliable, high-quality, and well-structured data to support business intelligence, operations, and innovation. This role serves as the primary custodian of Trilon's integrated data model and is instrumental in developing a unified, extensible architecture that scales with continued acquisitions. The Data Engineer designs and builds secure Power BI semantic models for consumption by analysts and decision-makers, ensuring consistent and governed access to enterprise data. This role also partners closely with the AI and Innovation vTeam to prepare data for analytics, machine learning, and retrieval-augmented generation (RAG) applications. Key Responsibilities Data Platform Engineering and Maintenance - Serve as the primary owner and technical steward of the Trilon enterprise data platform - Design, develop, and maintain data pipelines and workflows using Azure Data Factory, Synapse, and Microsoft Fabric - Build and manage data transformations, orchestration, and automation across structured, semi-structured, and unstructured data sources - Ensure scalability, reliability, and performance of the data platform as Trilon continues to grow through acquisition - Implement monitoring and alerting to proactively detect and resolve pipeline or data quality issues Data Integration and Modeling - Develop and maintain integrations between Trilon's enterprise systems, cloud services, and acquired partner environments - Design and maintain a unified, scalable data model that harmonizes data across business systems - Build secure, governed, and high-performance Power BI semantic models optimized for analytics and self-service reporting - Collaborate with business analysts and data consumers to ensure data models support enterprise reporting needs and KPIs - Partner with cybersecurity and infrastructure teams to ensure data models and access patterns meet compliance and governance standards Data Quality and Governance - Implement validation and quality checks to ensure accuracy, completeness, and timeliness of enterprise data sets - Maintain metadata, lineage, and documentation to promote transparency and reusability - Define and enforce data quality and consistency standards across all integrated sources - Collaborate with the Technology Asset Manager and Service Platform Manager to align system integrations and data governance - Support data cataloging, discovery, and classification initiatives within Microsoft Purview or equivalent tools Automation, Optimization, and Resilience - Develop automated frameworks for ingestion, transformation, and validation using Azure-native tools and pipelines - Implement DevOps principles for data workflows including version control, testing, and deployment automation - Optimize pipeline performance, resource utilization, and data freshness - Build resilience and fault tolerance into data operations to ensure reliability and recovery - Create reusable components and templates to streamline integration of new data sources and partner systems AI and Innovation Enablement - Collaborate with the AI and Innovation vTeam to prepare and structure data for AI, ML, and RAG-based applications - Develop and maintain data pipelines that support model training, evaluation, and fine-tuning - Curate and transform unstructured data for retrieval, embedding, and vectorization within AI applications - Ensure data readiness for generative AI tools, chat interfaces, and knowledge retrieval systems - Stay informed of emerging AI data engineering trends and Microsoft Fabric AI integrations Collaboration and Cross-Domain Partnership - Partner with application and infrastructure teams to ensure reliable and secure data exchange across systems - Collaborate with business stakeholders and analysts to understand reporting needs and deliver usable data models - Support integration engineers in onboarding new firms and ensuring their data aligns with Trilon's enterprise model - Work closely with cybersecurity and compliance teams to enforce data protection, retention, and access policies - Provide documentation, architecture diagrams, and operational standards for the data platform and pipelines Skills, Knowledge and Expertise - 5 or more years of experience in data engineering, data integration, or data platform development - Strong hands-on experience with Azure Data Factory, Azure Synapse, Microsoft Fabric, and related Azure data services - Proficiency in SQL, DAX, Power Query, and data modeling for Power BI - Experience designing and maintaining Power BI semantic models, datasets, and row-level security configurations - Familiarity with data governance, cataloging, and lineage management in tools like Microsoft Purview - Experience building and optimizing cloud data pipelines with structured, semi-structured, and unstructured data - Understanding of data preparation for AI and machine learning applications, including RAG architectures - Exposure to engineering and geospatial data such as CAD, BIM, and GIS - Strong analytical and problem-solving skills with a focus on scalability and performance - Excellent collaboration and communication skills across technical and business audiences - Bachelor's degree in Computer Science, Data Engineering, or related field preferred - Microsoft certifications such as Azure Data Engineer Associate or Fabric Analytics Engineer Associate are a plus - May require occasional travel to Trilon offices or partner locations for integration or collaboration activities About Trilon Trilon was formed with the vision of building the next Top 20 infrastructure consulting firm in North America by bringing together some of the nation's best infrastructure consulting firms, focused on delivering practical and sustainable infrastructure solutions. Trilon is backed by Alpine Investors, a PeopleFirst Private Equity Firm. Trilon currently comprises 5,500+ staff across the US. For more information, visit www.trilon.com. Pay Transparency The base salary range for this role is indicated in the posting. This range reflects the company's good faith estimate of the compensation for this position at the time of posting. Final compensation will be determined based on factors such as experience, skills, qualifications, internal equity, and geographic location.
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Data Engineering, SQL, AI, ETL, AWS, AI/ML
