This page tracks remote data engineer openings that are location-eligible for Pennsylvania.
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• Develop, design, and maintain Power BI dashboards, reports, and data visualizations based on business requirements. • Build efficient data models (star schema, semantic models) using Power BI and Microsoft Fabric components. • Work with Microsoft Fabric features such as Lakehouse, Data Engineering pipelines, Dataflows Gen2, and Warehouse where applicable. • Optimize datasets, visuals, DAX queries, and report performance. • Collaborate with business stakeholders and technical teams to gather requirements and translate them into scalable reporting solutions. • Ensure data accuracy, governance, and compliance with organizational standards. • Troubleshoot issues related to datasets, refresh failures, permissions, and report performance. • Support the modernization of analytics platforms and the adoption of Microsoft Fabric within the KPMG ecosystem.
We are the first public safety operating system empowering over 2500 cities to eliminate crime.
• Own the end-to-end integration strategy across CAD, RMS, jail records, public records, LPR, video, mapping, alerts, evidence, and other agency and third-party systems, while creating a scalable integration model powered by automation and AI. • Define how public safety data is modeled, governed, and trusted, establishing standards for data quality, source attribution, permissions, reliability, auditability, and downstream usability. • Accelerate customer workflows by building intuitive search, mapping, and investigative experiences that help agencies make faster, more informed decisions. • Partner cross-functionally with engineering, GTM, customer-facing teams, executive leadership, and third-party vendors to deliver scalable platform capabilities and shape the future of Flock's integrations platform.
Shaping the Future of Life Science Consulting Worldwide
Role Description We are looking for an experienced SAP Warehouse Management (WM)/Extended Warehouse Management (EWM) Functional Consultant with strong data migration experience to support a global SAP transformation program within the life sciences sector. In this role, you will serve as the global focal point for Warehouse Management data objects during migration, partnering with functional, technical, and business teams to ensure successful data readiness and migration execution. - Act as the global focal point for SAP WM and EWM data objects in scope for migration, collaborating with Global Template BDOs, Functional Streams, Data Migration Developers, and Legacy Experts. - Gather and validate functional specifications for data migration tools. - Provide test data sets for migration tool testing and validation. - Offer guidance on SAP ECC standard data extractions and data structures where applicable. - Own and maintain global templates and scripts (e.g., FSs (DDT), SATs, DVSs) including validation and verification approaches and authorization designs. - Review and approve System Acceptance Testing (SAT) for data migration tools. - Advise business teams on data readiness and cleansing activities based on technical and functional requirements. - Review and confirm defect resolution testing related to global template migration tool design. - Conduct knowledge transfer sessions with deployment and local Functional Data Owners. Qualifications - Minimum 5 years of hands-on SAP WM/EWM experience. - Proven data migration experience in large-scale or global SAP programs. - Strong knowledge of SAP ECC data models, especially within the PM module. - Experience collaborating with cross-functional and technical teams in a global template environment. - Excellent communication, coordination, and stakeholder management skills. Benefits - Workflex: Enjoy 25 days of flexibility to work from your preferred global location. - Flexible Time Off: Take the time you need to recharge and maintain a healthy work-life balance, with flexibility beyond standard holiday allowances. - Annual Training Budget: Access CHF 1,500 to invest in your professional development and skill enhancement. - Continuous Learning: Thrive in an environment that encourages ongoing learning, with opportunities to develop new skills and broaden your expertise. - Global Mobility Support: Gain assistance with international assignments, visa/permit support, and relocation services. - Unity Scheme: Benefit from loyalty rewards starting after 3 years of service. - Referral Program: Earn a referral fee for every successfully hired referee. - Local Benefits: Access a range of country-specific benefits tailored to your location. - People Focus: Unite with the best global talent in life sciences, empowered to grow and collaborate in a vibrant environment. - Truly Global: Join a truly global organization where mutual support, teamwork, and diversity drive our collective success.
We make sense of data to drive your business forward. #MakeSenseofData #DriveYourBusinessForward #PartnerYourWay
Role Description - Must have 7+ years of relevant experience in Data Engineering and delivery. - 5+ years of relevant work experience in Big Data Concepts. Worked on cloud implementations. - Strong experience with SQL, Python, and Pyspark. - Good understanding of Data ingestion and data processing frameworks. - Good experience in Snowflake, SQL, AWS (Glue, EMR, S3, Aurora, RDS, AWS architecture). - Good aptitude, strong problem-solving abilities, analytical skills, and ability to take ownership. Company Description EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. - EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media, and retail. - Founded in 1999 with core values of innovation, collaboration, excellence, integrity, and respect. - Headquartered in New York with more than 54,000 employees spanning six continents. - EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process. - EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team and hiring managers. - EXL is the indispensable partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare, retail, and logistics. - We bring a unique combination of data, advanced analytics, digital technology, and industry expertise to help our clients turn data into insights, streamline operations, improve customer experience, and transform their business. - Our partnerships with clients are built on a foundation of collaboration. - Chosen as a partner by nine of the top ten leading US insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers. - Clients choose EXL as their transformation partner for many reasons, including geographic diversity, digital accelerators, and our dedicated team of data scientists.
Cardinal Technology Systems, Corp (“CTech-Sys”) is an SBA Certified 8(a) and HUBZone company located in the National Capital Region (NCR) and serves both government and commercial clients such as US CBP, US CIS, DLA, DFuse Technologies, and American Environmental Engineering Consultants. Cardinal Technology Systems, Corp is an Equal Employment Opportunity employer and it's our policy to consider applicants for employment without regard to sex, race, color, creed, religion, national origin, sexual orientation, marital status, age, disability, veteran status, alienage, ancestry, or any other factors prohibited by law. Employment selections are based on company and client requirements and the qualifications and skills of the candidate. CTech-Sys is committed to actively capitalizing on the diversity of skills, talents and perspectives of our employees.
Role Description Cardinal Technology Systems Corp. is currently seeking a Data Analytics Engineer to work for our company. - Must possess DoD Top Secret, DHS EOD, CBP Full BI, or IT-I security clearance or have a current Single Scope Background Investigation (SSBI). (Basic Federal Clearance requirements are U.S. Citizenship, clear criminal history check, no recent or pending bankruptcies) - Assist in the design, development, and deployment of reports, dashboards, and data visualizations using business intelligence (BI) tools such as SAP Business Objects or similar platforms. - Collaborate with data engineering teams to support the use of dimensional models, including fact and dimension tables (star/snowflake schemas), for reporting. - Write and maintain SQL queries within Oracle and Databricks environments to extract and prepare data for reporting applications. - Work with business analysts and stakeholders to help gather requirements, translate business needs into technical specifications, and support the delivery of reporting solutions. - Assist in monitoring and improving the performance of reports and underlying queries to help ensure a reliable and user-friendly experience. - Gain exposure to and support the use of AWS services (e.g., S3, EMR, Redshift, Glue) for cloud-based reporting solutions. - Support the management of reporting assets, including documentation, version control, scheduled refreshes, and ongoing maintenance and enhancements. Qualifications - Bachelor's degree in computer science or related engineering field. - 1-3 (maximum of 5 years) of hands-on experience with SQL programming. - 1-3 (maximum of 5 years) of experience with at least one major BI platform (e.g. PowerBI, Tableau, Qlik). - Experience with performing data analysis and interpreting results. - Conceptual understanding of data warehousing concepts and dimensional modeling, including a clear ability to articulate the difference and use cases for star vs. snowflake schemas. - High level of self-motivation, willingness to learn new technologies and work in a distributed team environment. - The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, which may involve delivering presentations. Requirements - Must possess DoD Top Secret, DHS EOD, CBP Full BI, or IT-I security clearance or have a current Single Scope Background Investigation (SSBI). (Basic Federal Clearance requirements are U.S. Citizenship, clear criminal history check, no recent or pending bankruptcies) Preferences - 1-3 years of experience in dedicated reporting, business intelligence, or data analytics role. - Experience developing reports and running queries within a Databricks environment (using notebooks, SQL Warehouses, etc.). - Familiarity with navigating the AWS ecosystem, specifically with services related to data storage and access like S3 and IAM. - AWS Certification (e.g. AWS Certified Data Analytics – Specialty or Solutions Architect). - Proficiency in a scripting language, particularly Python (Pandas, Pyspark) for data manipulation or automation. - Strong communication skills with ability to present technical findings to non-technical stakeholders. Benefits - Medical, Dental, Vision Benefits - Paid Life - Paid Vacation, Holidays, Sick Leave, Floating Holidays, Bereavement Leave - Semi-monthly pay cycle
Shaping the Future of Life Science Consulting Worldwide
Role Description We are looking for an experienced SAP Warehouse Management (WM)/Extended Warehouse Management (EWM) Functional Consultant with strong data migration experience to support a global SAP transformation program within the life sciences sector. In this role, you will serve as the global focal point for Warehouse Management data objects during migration, partnering with functional, technical, and business teams to ensure successful data readiness and migration execution. - Act as the global focal point for SAP WM and EWM data objects in scope for migration, collaborating with Global Template BDOs, Functional Streams, Data Migration Developers, and Legacy Experts. - Gather and validate functional specifications for data migration tools. - Provide test data sets for migration tool testing and validation. - Offer guidance on SAP ECC standard data extractions and data structures where applicable. - Own and maintain global templates and scripts (e.g., FSs (DDT), SATs, DVSs) including validation and verification approaches and authorization designs. - Review and approve System Acceptance Testing (SAT) for data migration tools. - Advise business teams on data readiness and cleansing activities based on technical and functional requirements. - Review and confirm defect resolution testing related to global template migration tool design. - Conduct knowledge transfer sessions with deployment and local Functional Data Owners. Qualifications - Minimum 5 years of hands-on SAP WM/EWM experience. - Proven data migration experience in large-scale or global SAP programs. - Strong knowledge of SAP ECC data models, especially within the PM module. - Experience collaborating with cross-functional and technical teams in a global template environment. - Excellent communication, coordination, and stakeholder management skills. Benefits - Workflex: Enjoy 25 days of flexibility to work from your preferred global location. - Flexible Time Off: Take the time you need to recharge and maintain a healthy work-life balance, with flexibility beyond standard holiday allowances. - Annual Training Budget: Access CHF 1,500 to invest in your professional development and skill enhancement. - Continuous Learning: Thrive in an environment that encourages ongoing learning, with opportunities to develop new skills and broaden your expertise. - Global Mobility Support: Gain assistance with international assignments, visa/permit support, and relocation services. - Unity Scheme: Benefit from loyalty rewards starting after 3 years of service. - Referral Program: Earn a referral fee for every successfully hired referee. - Local Benefits: Access a range of country-specific benefits tailored to your location. - People Focus: Unite with the best global talent in life sciences, empowered to grow and collaborate in a vibrant environment. - Truly Global: Join a truly global organization where mutual support, teamwork, and diversity drive our collective success.
A digital-first chronic care provider, helping members change mindsets to improve health and build lasting change.
Role Description We are seeking a highly skilled and motivated Data Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining robust data architectures and engineering data models and pipelines. This role will play a critical part in ensuring the integrity, scalability, and performance of our data processing and products. - Data Architecture: Design, develop, and implement scalable, secure, and efficient data solutions that meet the needs of the organization. - Data Modeling: Create and maintain logical and physical data models to support business intelligence, analytics, and reporting requirements. - Pipeline Engineering: Design, build, and optimize ETL (Extract, Transform, Load) processes and data pipelines to ensure smooth and efficient data flow from various sources. - Data Integration: Integrate diverse data sources, including APIs, databases, and third-party data, into a unified data platform. - Performance Optimization: Monitor and optimize the performance of data systems and pipelines to ensure low latency and high throughput. - Data Quality and Governance: Implement data quality checks, validation processes, and governance frameworks to ensure the accuracy and reliability of data. - Collaboration: Partner closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet their needs. - Documentation: Maintain comprehensive documentation of data architectures, models, and pipelines for ongoing maintenance and knowledge sharing. - Training: Train and collaborate with teammates effectively in data engineering best practices. - Technical Influence/Leadership: Recommend policy changes and establish department-wide procedures. Use extensive experience and knowledge to resolve complex problems. - Monitor and manage production environment to deliver data within defined SLAs. Qualifications - 5+ years of experience building, maintaining, and orchestrating scalable data pipelines. - 3+ years of experience as a data engineer developing or maintaining integration with software such as Airflow or any Python-based data pipeline codebase. - Experience applying a variety of integration patterns for different use cases. - Experience in backend software development to contribute to distributed computing development and data technologies. - Experience implementing data pipelines and improving the performance of ETL processes and related SQL queries. - Experience in data modeling for OLTP and OLAP applications. - Experience with Cloud platforms such as Amazon AWS. - Familiarity with workflow management tools (Airflow preferred). - Familiarity with cloud-based data warehouses (Amazon Redshift preferred). - Exceptional problem-solving and analytical skills. - Experience working with sensitive data (e.g., PHI / PII) & security best practices. - Familiarity with data governance practices and principles. Requirements - Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL). - Proficiency in Analytical SQL and experience working with massive parallel processing (MPP) databases (e.g., Redshift, BigQuery, Snowflake). - Proficiency in programming languages such as Python, Java, or Scala. - Knowledge of data modeling techniques (3NF) and tools (e.g., ER/Studio, ERwin). - Software Engineering Mindset: Apply best practices to write elegant, maintainable code and understand automated testing concepts. - Familiarity with business intelligence tools and environments. - Familiarity with big data technologies (e.g., Lambda, Iceberg or Delta Lake, Spark, or Kafka). - Excellent communication and collaboration skills, both written and verbal. - Self-Directed: Leading projects and tasks effectively with cross-functional stakeholders with minimal guidance. Benefits - Competitive salary with generous annual cash bonus. - Equity grants. - Remote first work from home culture. - Flexible Time Off to help you rest, recharge, and connect with loved ones. - Generous parental leave. - Health, dental, and vision insurance (and above market employer contributions). - 401k retirement savings plan. - Lifestyle Spending Account (LSA). - Mental Health Support Solutions. - ...and more!
• Design, develop, and maintain full-stack software in support of Cross River's data platform • Build and operate AI-native capabilities: LLM-powered agents and reasoning loops, retrieval-augmented generation (RAG) over the data catalog, and natural-language-to-SQL query experiences • Integrate large language models responsibly, with rigorous permission checks, tracking, and observability on every model call • Act as a thoughtful and considerate data steward, with a mind for strong data security • Engineer React-based web UIs that present complex data (catalogs, lineage, dashboards, and conversational interfaces) clearly and accessibly • Build and operate Python back-ends that house APIs and integrate with the data platform and adjacent systems • Interact with AWS services and technologies including Lake Formation, Glue, Iceberg, Hive, Athena, ECS, and Snowflake • Operate and troubleshoot any issues across the UIs, APIs, agents, and data pipelines • Collaborate with other software engineers, data engineers, data scientists, and business personnel to ensure business, security, and operational needs are met • Manage code and versioning effectively using Git and participate in architectural discussions on product- and platform-level designs • Ensure best practices around development, testing, and documentation
Building simple, effective government services. Want to contribute? We're hiring!
• Lead a team of 2-3 engineers • Working with fellow Nava engineers to design, review, and build well-crafted software • Working in an agile manner to efficiently ship new features that meet user needs • Design and develop scalable data ingestion and processing pipelines • Implement large-scale data ecosystems within cloud-based platforms that include data management and data governance of structured and unstructured data • Implement data validation and quality checks to ensure accuracy and consistency • Work with cross-functional project teams to gather business requirements and translate to detailed technical specifications • Work with Government partners to assist and develop data engineering applications and pipelines that will enable data services and processing capabilities • Participate in software design and code reviews • Maintain security and privacy standards in all aspects of the data pipeline • Taking part in hiring activities (e.g., submitting referrals, conducting interviews, and attending interview debriefs), as needed
Cars & Bids has daily auctions of cool enthusiast vehicles from the 1980s to the 2020s.
• Support entire data stack from ingestion through warehousing and transformation • Build and maintain bespoke syncs for operational tools • Investigate data quality issues • Conduct team syncs for alignment
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Python, SQL, AWS, SAP, Data Engineering, Snowflake
