This page tracks remote data engineer openings that are location-eligible for Alabama.
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Turnkey flexible digital product teams for fast growing e-commerce brands with annual revenue of $25MM-$500
• Design, build, and maintain scalable data pipelines using BigQuery and dbt • Architect and optimize warehouse-first data models to support analytics, marketing, and operational reporting • Develop and maintain Looker dashboards and semantic layers • Integrate and transform data from Shopify, Klaviyo, Loop (subscriptions/returns) and 3PL systems (e.g., ShipHero, ShipBob, etc.) • Build automated workflows for data ingestion, validation, and monitoring • Implement best practices for data quality, governance, and documentation • Leverage AI tools (LLMs, automation frameworks) to: Accelerate data transformation workflows Refactor and optimize SQL/dbt models Automate anomaly detection and QA processes • Collaborate with analytics, product, and marketing teams to translate business requirements into scalable data solutions • Troubleshoot data discrepancies and provide root-cause analysis • Recommend architectural improvements to improve performance, reliability, and scalability
Cedar is the AI-powered healthcare financial experience platform, built for the rising cost and complexity of healthcare payments. We help millions of people every year understand and resolve their medical bills with clarity and compassion, while helping healthcare organizations operate more efficiently. We’re combining AI, smart design, and empathy to fix one of healthcare’s most urgent crises.
Role Description Cedar is at a pivotal moment in its technical evolution. We are evolving towards a brand-new, enterprise data platform and model, architected specifically to power the future of Cedar’s product offerings. As the Principal Data Architect, you will be the senior technical authority leading this transition, ensuring our new data foundation is clean, scalable, and cleanly separated from legacy debt. This is a hands-on technical leadership role for an engineer who loves building production systems at scale and views AI as a massive accelerator for both personal and team productivity. What You’ll Do - Architect the Future-State Data Model & Storage: Lead the design and execution of a new, high-scale data model and storage architecture that lives outside our legacy monolith. - Ensure Metrics Reliability: Own the accuracy and reliability of Cedar’s core business metrics including collection rate, days in AR, and invoice balance tracking. - Power Intelligent Agents: Build the real-time data foundations that power Cedar’s AI-driven products. - Design for the Future: Design data models for new product lines that expand Cedar’s presence across the full revenue cycle. - Build Production Code: Write, ship, and maintain high-quality production code alongside our team of Data Engineers. - Guide and Mentor Engineers: Act as the technical role model for a team of Data Engineers. - Collaborate: Drive technical alignment across data engineering, platform, and product teams. - Steward Data Integrity: Define and enforce standards for Cedar's enterprise Data Dictionary and metadata strategy. Qualifications - 10+ years of experience in data engineering and backend systems at scale. - Experience leading large technical projects with a high accountability mentality. - Deep, hands-on proficiency with a wide range of data and engineering technologies and patterns. - Experience building "source of truth" systems and a passion for data accuracy. - Experience building data APIs, context systems, or feature stores that power downstream ML/AI applications. - Ability to spot over-engineering and under-engineering with equal confidence. - Clear communication skills to translate complex technical risks and trade-offs into business-relevant terms. - Avid learner and adopter of AI engineering tools. - Demonstrable understanding of healthcare concepts, including revenue cycle management (RCM), billing, and insurance adjudication (highly preferred). Requirements - Experience with technologies such as Snowflake, dbt, Liquibase, Fivetran, Airflow, OpenMetadata, Kafka, SQL, Python, and real-time data processing. - Experience with building production-grade ELT/ETL pipelines and managing complex data transformations in cloud-first environments. - Experience with data validation and reconciliation, comparing pipeline output against source systems. Benefits - Salary/Hourly Rate Range: $246,500 - $311,750. - This role is equity eligible. - This role offers a competitive benefits and wellness package. - Unlimited PTO for vacation, sick, and mental health days. - 16 weeks paid parental leave with health benefits for all parents. - Diversity initiatives that encourage Cedarians to bring their whole selves to work. - Competitive pay, equity (for qualifying roles), and health benefits. - Cedar matches 100% of your 401(k) contributions, up to 3% of your annual compensation. - Access to hands-on mentorship, employee and management coaching, and a team discretionary budget for learning and development resources.
• Build and maintain data pipelines across Salesforce, SharePoint, Excel, and operational systems into our StarRocks data warehouse using dbt and Python. • Develop and ship AI agents and copilots using the Claude API (and other LLM tooling) for use cases like lead scoring, account research, call analysis, and internal Q&A over company data. • Design and automate cross-system workflows using Power Automate, Teams Adaptive Cards, and lightweight Python/FastAPI services to replace manual, spreadsheet-driven processes. • Model business data in dbt and Omni — building reusable semantic models, metrics, and dashboards that GTM, RevOps, and leadership rely on. • Enrich and clean prospect and account data using sources like ZoomInfo, LinkedIn Sales Navigator, and public government datasets (e.g., USASpending, SAM.gov, FCC, EIA, FERC, SEC EDGAR). • Prototype and ship internal tools end-to-end — backend (Python/FastAPI), frontend (Vite/React), and storage (PostgreSQL, StarRocks) — for AI-prioritized daily workflows. • Write clear documentation for data models, pipelines, agents, and workflows so the team can extend and maintain them. • Collaborate with GTM, RevOps, Finance, and product teams to translate business questions into data and automation solutions. • Stay current on advances in agentic AI, retrieval, evals, and the modern data stack — and bring useful ideas back to the team.
Magna LS is a litigation consulting and support company providing services from Discovery to Trial.
• Serve as the internal authority on Snowflake architecture, performance tuning, cost governance, and security (RBAC, data masking, network policies). • Design and maintain a scalable, well-documented warehouse structure including database, schema, and object hierarchy standards. • Drive Snowflake feature adoption — dynamic tables, Snowpark, data sharing, and emerging capabilities. • Own the dbt project end-to-end: modeling conventions, testing strategy, documentation standards, and CI/CD integration. • Establish and enforce a layered modeling approach (staging → intermediate → marts) that downstream teams can trust and self-serve. • Lead the design and operation of data pipelines on Azure, including Azure Data Factory • Ensure reliable, monitored data movement from source systems into Snowflake with clear SLAs and alerting. • Manage, mentor, and grow a team of data engineers — running regular 1:1s, setting performance goals, and building a culture of engineering excellence. • Own hiring, onboarding, and career development for the data engineering function. • Translate business requirements from stakeholders into well-scoped, prioritized engineering work. • Define and enforce organization-wide ETL/ELT best practices, naming conventions, and code review standards. • Champion data quality, observability (e.g., dbt tests), and lineage across the platform. • Proactively identify opportunities for data process improvements and lead initiatives to implement these changes.
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• Lead and mentor a team of data engineers, fostering a culture of innovation and continuous improvement. • Design, implement, and optimize data pipelines and ETL processes to support business needs. • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. • Ensure data quality, governance, and compliance with industry standards and best practices. • Evaluate and integrate new technologies and tools to enhance data processing capabilities.
• Join a team of innovative engineers building and scaling the core data infrastructure, pipelines, and services that power our products • Design and implement a robust data warehouse to support a wide range of analytics and operational use cases • Develop and maintain efficient data pipelines and curated data sets by working closely with stakeholders to gather requirements and translate them into technical solutions • And of course—write code every day!
Role Description We are looking for a skilled GCP Data Engineer to join our EPEO - Data and AI Ops team. In this role, you will play a critical part in designing, developing, and maintaining our Security Data Lake and associated data products. The core requirement for this role is deep technical expertise in Google Cloud Platform (GCP) and hands-on experience building scalable cloud data pipelines (ETL/ELT). Additionally, experience with Cribl (for log stream routing, shaping, and reduction) is considered a strong asset and a major plus. - Design, develop, and maintain robust data pipelines using GCP native services. - Build and manage data quality frameworks to ensure the integrity and reliability of security data assets. - Integrate diverse data sources and security tools via APIs to centralize security oversight. - Optimize database performance, query efficiency, and storage costs within Google BigQuery. - (Preferred) Utilize Cribl to route, shape, and enrich incoming security telemetry and log data. - Develop, deploy, and monitor automated data pipelines (ETL/ELT) using Python, SQL, and GCP services (such as Cloud Functions, Cloud Scheduler, and Dataflow). - Manage and optimize schema designs, partitioning, and clustering in Google BigQuery to ensure cost-effective and high-performance querying. - Implement and scale data quality and auditing frameworks using GCP Dataplex with centralized rules metadata configuration. - Design and maintain robust API integrations (e.g., EAMS, TrendMicro, and other threat detection platforms) to ingest critical security logs. - [Preferred/Good to Have] Configure and manage Cribl Stream pipelines (sources, destinations, routes, and functions) to parse, mask, enrich, and route security logs. - [Preferred/Good to Have] Implement log reduction strategies in Cribl to optimize data ingestion and lower downstream storage costs. - Partner with security teams to deliver actionable data products, reporting views, and tactical dashboards to prevent service outages. Qualifications - Bachelor’s degree in Computer Science, Computer Engineering, Data Science, Information Technology, or a related technical field (or equivalent combination of education and experience). - 8+ years of professional experience in Data Engineering, Cloud Data Warehousing, or software development. - 5+ years of hands-on experience designing and implementing production-grade solutions on Google Cloud Platform (GCP), specifically utilizing native services such as Google BigQuery, Cloud Run/Functions, and Cloud Storage, Dataflow, PubSub. - High proficiency in Python and advanced SQL for building, optimizing, and troubleshooting complex ETL/ELT pipelines. - Excellent written and verbal communication skills, with a proven ability to collaborate effectively with cross-functional teams in an agile environment. Benefits - Immediate medical, dental, vision and prescription drug coverage. - Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more. - Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more. - Vehicle discount program for employees and family members and management leases. - Tuition assistance. - Established and active employee resource groups. - Paid time off for individual and team community service. - A generous schedule of paid holidays, including the week between Christmas and New Year’s Day. - Paid time off and the option to purchase additional vacation time.
UnitedHealth Group is a healthcare and well-being company that’s dedicated to improving the health outcomes of millions around the world. We are comprised of
Role Description You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges. - Design, build, and operate scalable data engineering platforms using modern ETL/ELT frameworks, including Azure Data Factory, Delta Lake, and cloud-native pipelines - Architect modular, reusable data systems that support batch and streaming workloads, advanced analytics, and AI/ML use cases - Influence overall data and AI platform architecture, including lakehouse design, metadata management, and data quality frameworks - Develop and optimize PL/SQL, Python, and Unix-based data processing solutions for high-volume, low-latency data pipelines - Enable Generative AI use cases by designing structured and unstructured data pipelines to support NLP, prompt engineering, vectorization, and inference workflows - Drive code reusability and standardized data patterns across teams through shared frameworks, libraries, and design standards - Ensure mature DevOps and DataOps practices, including CI/CD, automated testing, monitoring, incident response, and cost optimization - Deeply analyze ambiguous business and data problems, translating them into robust data engineering and AI solutions that deliver measurable business value - Lead adoption of best practices in data modeling, pipeline design, security, and governance, especially in regulated environments - Continuously assess and modernize existing data platforms, improving performance, reliability, scalability, and AI readiness - Partner with business, analytics, data science, and product leaders to manage delivery in an agile framework, rapidly delivering insights and AI-enabled capabilities - Mentor and coach engineers in data engineering, cloud, and Generative AI technologies, raising overall team capability - Attract and grow talent through strong technical leadership, effective interviewing, community engagement, and training junior interviewers - Communicate complex data and AI concepts clearly to both technical and non-technical stakeholders, including leadership presentations and solution demos - Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI Qualifications - Bachelor’s degree in CS or IT or Software Engineering related field - 7+ years of Data Engineering experience building enterprise-scale ETL/ELT solutions (e.g., ADF, DataStage, Talend, or equivalent) - 4+ years of experience with Azure public cloud including Databricks and Snowflake - 3+ years of hands-on experience with Unix/Linux shell scripting for data processing and automation - 3+ years of experience with Oracle PL/SQL development for data transformation, performance tuning, and production workloads - 3+ years of production support experience, including on-call rotations, incident resolution, and root cause analysis - 2+ years of experience with high-level programming languages, such as Python, Java, or Node.js, with Python preferred Preferred Qualifications - Excellent written and verbal communication skills, with the ability to explain data and AI concepts clearly - Prior technical or people leadership experience, including ownership of complex systems - Demonstrated experience mentoring and developing junior Engineers Requirements - *All Telecommuters will be required to adhere to UnitedHealth Group’s Telecommuter Policy. Benefits - Comprehensive benefits package - Incentive and recognition programs - Equity stock purchase - 401k contribution (all benefits are subject to eligibility requirements) Application Deadline This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
ACV is a technology company that has revolutionized how dealers buy and sell cars online. We are transforming the automotive industry. ACV Auctions Inc. (ACV) has applied innovation and user-designed, data-driven applications and solutions. We are building the most trusted and efficient digital marketplace with data solutions for sourcing, selling, and managing used vehicles with transparency and comprehensive insights that were once unimaginable. We are disruptors of the industry and we want you to join us on our journey.
Role Description ACV Auctions is looking for a Staff Engineer, Database to join our ACV MAX Engineering team and lead the evolution of the data platform behind our SaaS product, MAX Digital. This role will focus on the design, optimization, and modernization of transactional and analytical data systems, including SQL Server–based platforms, synchronization workflows, and cross-system data integration patterns. - Lead the architectural design and technical decision-making process for core data platform components, including SQL Server systems, data models, synchronization patterns, and cross-system data workflows, ensuring alignment with product goals and engineering standards. - Design, develop, and implement complex features and enhancements within SQL Server and MongoDB, considering performance, scalability, and security aspects. - Collaborate with product managers, designers, and other engineers to define requirements and translate them into technical specifications. - Mentor and guide junior engineers, providing technical expertise, code reviews, and best practices to foster professional growth. - Evaluate SQL and MongoDB environments and produce/execute plans to evolve the data architecture/infrastructure of our platform, ensuring that development engineers can work easily and effectively. - Lead the evaluation and modernization of legacy ETL-style, batch, and synchronization workflows that support core business operations. - Define scalable approaches for data pipeline architecture and orchestration that improve observability, supportability, recoverability, and operational resilience. - Partner with application, product, and analytics teams to improve how transactional systems, analytical systems, and downstream integrations exchange data, reducing reliance on tightly coupled legacy database-driven workflows where appropriate. - Standardize patterns for data synchronization, transformation, validation, and downstream delivery across shared platform components. - Drive performance optimization efforts across both operational and batch-oriented workloads, including query tuning, indexing strategy, workload analysis, and data lifecycle considerations. - Investigate and resolve complex technical issues, applying a systematic approach to troubleshooting and debugging. - Collaborate with quality assurance teams to ensure robust testing strategies, including unit, integration, and performance testing. - Stay current with industry trends, emerging technologies, and best practices, and apply this knowledge to improve the SQL Server product. - Participate in cross-functional collaboration with teams such as documentation, support, and customer engagement to address customer needs effectively. - Contribute to the continuous improvement of development processes, tools, and methodologies. - Perform additional duties as assigned. Qualifications - Ability to read, write, speak and understand English. - BS in Computer Science or related technical discipline or equivalent practical experience required. Advanced degrees are a plus. - 10+ years’ professional experience in software engineering with deep Microsoft SQL Server expertise; experience with PostgreSQL and MongoDB is a plus. - Strong proficiency in database internals, query optimization, and performance tuning. - Deep expertise in SQL/T-SQL programming, database design principles, and data modeling. - Solid understanding of SaaS, distributed systems, scalability, and high availability concepts. - Experience with Python, C/C++, C#, or other relevant programming languages. - Proven track record of designing and implementing complex software features with a focus on quality, maintainability, and performance. - Excellent problem-solving skills and the ability to navigate complex technical challenges. - Strong communication skills and the ability to collaborate effectively in cross-functional teams. - Previous experience in a technical leadership or mentoring role is highly desirable. - Microsoft certifications related to SQL Server are a plus. - Experience designing, implementing, or modernizing ETL/ELT workflows, batch processing, synchronization services, or application-integrated data pipelines. Benefits - Multiple medical plans including a high deductible, low cost health plan. - Company-sponsored (paid) Short-Term Disability, Long-Term Disability, and Life Insurance. - Comprehensive optional benefits such as Dental, Vision, Supplemental Life/AD&D, Legal/ID Protection, and Accident and Critical Illness Insurance. - Generous paid time off options, including uncapped vacation days, the greater of 3 paid sick days or in accordance with the applicable state or local paid sick leave law, 6 paid company holidays, 2 floating holidays, parental leave, bereavement leave, jury duty leave, voting leave, and other forms of paid leave as required by applicable law or regulation. - Employee Stock Purchase Program with additional opportunities to earn stock in the Company. - Retirement planning through the Company’s 401(k). Company Description ACV is a technology company that has revolutionized how dealers buy and sell cars online. We are transforming the automotive industry. ACV Auctions Inc. (ACV) has applied innovation and user-designed, data-driven applications and solutions. We are building the most trusted and efficient digital marketplace with data solutions for sourcing, selling, and managing used vehicles with transparency and comprehensive insights that were once unimaginable. We are disruptors of the industry and we want you to join us on our journey. - Our network of brands includes ACV Auctions, ACV Transportation, ClearCar, MAX Digital, and ACV Capital within its Marketplace Products, as well as True360 and Data Services.
Role Description American Express Travel Related Services Company, Inc. seeks Senior Data Engineers to work with product teams to understand business data requirements, identify data needs and data sources to create data architecture, and support changes and implementation. Qualifications - Experience in data engineering and architecture. - Strong analytical and problem-solving skills. - Ability to work collaboratively with cross-functional teams. Requirements - Proficiency in data modeling and ETL processes. - Experience with programming languages such as Python or Java. - Familiarity with cloud platforms and data storage solutions. Benefits - Comprehensive support for holistic well-being. - Opportunities to learn new skills and develop as a leader. - Career growth opportunities.
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Python, ETL, SQL, Data Engineering, BigQuery, Cloud
