This page tracks remote data engineer openings that are location-eligible for Washington.
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Role Description We are seeking an experienced Senior Data Architect to design, develop, and manage enterprise data warehouse solutions. The ideal candidate will have strong expertise in: - SQL Server - Data modeling - Database architecture - ETL - Data governance Experience with Azure DevOps, .NET/C#, or Java is preferred. Candidates should have 8+ years of IT experience, including at least 5 years in data architecture and data warehouse design. Qualifications - Data Warehouse & Data Modeling - SQL Server & SQL - Database Architecture - Data Governance & Master Data - Azure DevOps - .NET/C# or Java - Strong analytical and communication skills Requirements - 8+ years of IT experience - At least 5 years in data architecture and data warehouse design Company Description
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 The Senior Data Engineer – Exadata Platform Engineering is responsible for the administration, maintenance, performance optimization, and lifecycle management of Oracle Exadata engineered systems, including both On-Premises Exadata and Exadata Cloud Services (ExaCS). This role focuses on Exadata infrastructure and cloud environments. This position ensures the availability, performance, scalability, and security of mission-critical, large-scale platform environments while providing operational support, capacity planning, automation, monitoring, and troubleshooting across hybrid cloud and on-premises environments. Responsibilities include: - Administer and maintain Oracle Exadata Database Machine, ZDLRA, and Exadata Cloud environments, including compute nodes, storage cells, operating systems, networking, and supporting platform components. - Manage Exadata infrastructure performance, capacity planning, storage utilization, and growth forecasting to ensure platform scalability and reliability. - Configure, monitor, and optimize Exadata-specific infrastructure technologies, including Smart Scan, Storage Indexes, Smart Flash Cache, and IORM. - Administer and support Exadata networking, backup infrastructure, and disaster recovery platform components. - Monitor system health, performance, and availability using Oracle Enterprise Manager (OEM), including alert management, reporting, and operational support. - Support Exadata deployments, migrations, and platform operations across on-premises, OCI, Exadata Cloud Service (ExaCS), KVM, OCI@Azure, and OCI@AWS environments. - Develop and maintain automation solutions for platform administration, monitoring, patching, and operational processes using Ansible, Python, and Shell scripting. - Troubleshoot and resolve complex Exadata platform issues. - Participate in incidents, problems, change, and on-call support processes to ensure platform stability, availability, resiliency, and operational excellence. You will enjoy the flexibility to telecommute from anywhere within the U.S. as you take on some tough challenges. Qualifications - High School Diploma/GED - 5+ years of hands-on experience administering Oracle Exadata engineered systems in production environments - 5+ years of experience supporting Exadata infrastructure, including storage cells, compute nodes, operating systems, and networking - 5+ years of experience monitoring and optimizing Exadata environments using features such as Smart Scan, Storage Indexes, Smart Flash Cache, and IORM - 5+ years of experience with Exadata capacity planning, storage management, backup infrastructure, and high availability/disaster recovery platforms - 4+ years of experience troubleshooting complex Exadata infrastructure issues - 4+ years of experience automating administrative processes using Ansible, Python, Shell scripting, or similar tools - 4+ years of experience with Incident, Problem, and Change Management processes in enterprise production environments Requirements - Undergraduate degree or equivalent experience - 1+ years of experience with ZDLRA administration would be an added benefit - Experience supporting Exadata Cloud Service (ExaCS), OCI, Oracle Database@Azure, or Oracle Database@AWS environments strongly preferred - Experience with OEM Administration would be an added benefit - Experience in ticketing tools such as ServiceNow 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.
Out-of-the-box debt collections technology for banks, utilities, telcos and financial services.
Role Description EXUS is seeking a Head of Data Engineering to lead the strategic direction, architecture, and delivery of our data engineering function. This role is responsible for building and scaling a robust data platform designed to support business intelligence, analytics, product development, and operational excellence across the organization. The successful candidate will combine strong technical expertise with proven leadership capability, driving the design and operation of modern data pipelines and platforms with a focus on: - ClickHouse or other relevant tools - Apache Airflow - ETL/ELT - SQL - Python - Cloud infrastructure Working closely with cross-functional stakeholders, the Head of Data Engineering will ensure that data assets are reliable, scalable, secure, and aligned with business priorities. Responsibilities - Define and lead the data engineering strategy, roadmap, and architecture - Build, manage, and develop a high-performing data engineering team - Oversee the design and operation of scalable data pipelines and platform services - Ensure high standards in data reliability, observability, governance, and performance - Partner with engineering, analytics, and business teams to deliver trusted data capabilities Qualifications - BSc degree in Computer Science, Engineering, Mathematics, Statistics, or similar - Significant experience in data engineering and platform architecture, with a minimum of 5 years of relevant experience - Demonstrated success in leading and developing engineering teams - Strong hands-on expertise with ClickHouse (or similar tools), Apache Airflow, SQL, Python, and modern ETL/ELT practices - Solid understanding of cloud-based data platforms and engineering best practices - Strong communication, stakeholder management, and organizational leadership skills Benefits - Fully remote work setup - Competitive salary - Inclusive work environment & Well-being Program - A clear induction program & a mentoring buddy to help you - Private health insurance allowance - Unlimited time off
Role Description As a Senior Data Services Associate (Authorizations Specialist) on the MRR team, you’ll own the preauthorization workflow for insurance-eligible orders. Your work directly impacts order progression and customer timelines by ensuring insurance approvals are secured and documented accurately. - Become a subject matter expert in authorization workflows, payer requirements, and internal systems. - Review and process orders to ensure accurate documentation and progression. - Work within defined workflows and performance standards, handling a high volume of authorizations per shift. - Maintain strong accuracy and documentation quality. - Perform structured and repetitive tasks with high impact, where precision, speed, and clean data are critical. Qualifications - 2 years of experience in insurance authorizations, insurance verification, healthcare operations, revenue cycle, or high-volume data processing roles. - Experience requesting and tracking insurance preauthorizations across multiple payer portals and communication channels. - Strong working knowledge of documentation requirements for payer submissions. - Proven ability to manage production-based performance expectations and daily output targets. - Highly accurate data entry skills with minimal documentation errors. - Experience working within structured order management or case management systems. - Strong written and verbal communication skills. - Ability to work autonomously while collaborating with cross-functional teams. Requirements - Request and track preauthorizations for insurance-eligible orders in alignment with payer requirements. - Upload authorization details into the order processing platform and attach documentation to the correct order and patient record. - Update order status to continue processing upon approval or cancel appropriately if authorization is denied or not obtained. - Validate active insurance status at final API check prior to order progression. - Process inbound faxes related to authorization documentation and ensure proper system attachment. - Conduct outreach to customers when insurance coverage is nearing expiration, when applicable. - Meet or exceed daily production targets while maintaining high documentation accuracy. - Minimize downstream rework by ensuring clean data entry and complete documentation. - Escalate payer-related discrepancies, missing documentation, or API mismatches to the appropriate team lead. - Collaborate with internal teams to support workflow continuity and optimize processes. - Support additional operational workflows when queue stability allows, completing cross-training and assisting other teams as needed. Benefits - Impact-driven work environment. - Opportunity to grow and achieve the company's purpose. - Supportive team culture that values authenticity, curiosity, and dynamism.
• 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.
Function Health provides lab testing services to aid in the early detection of thousands of diseases. Focused on empowering patients to take charge of their hea
Role Description Function Health is building the most comprehensive picture of human health ever assembled and making sense of that data is core to our mission. We're looking for a Staff Analytics Engineer to own the semantic layer that sits at the heart of our data platform: the trusted, well-modeled foundation that powers dashboards, self-serve analytics, and increasingly, AI-driven data agents. This isn't a greenfield "figure out what to build" role. We have a platform. Now we need someone to make it exceptional, clean models, a well-governed metrics layer, and the architecture to let AI query our data reliably and accurately. You'll collaborate closely with data scientists, product engineers, and business leaders to ensure that when anyone (or anything) asks a question about our data, they get the right answer. This is a fully remote role. Function Health is a distributed team, we hire across the US. Key Responsibilities - Own the semantic layer: Design and maintain the metrics, dimensions, and data models that serve as the single source of truth across the business — built to be queried by humans and AI alike. - Architect for AI-readiness: Structure our Databricks and GCP-based data platform so it can reliably power AI-driven analytics agents — clean schemas in Unity Catalog, consistent naming conventions, and strong data contracts. - Drive data quality end-to-end: Build observability, testing, and alerting into pipelines so we catch problems before stakeholders do. - Enable self-serve analytics: Partner with product, clinical, and business teams to deliver tooling and dashboards that let them answer their own questions without filing tickets. - Set the standard: Establish and enforce data modeling conventions, documentation practices, and code review norms across the data org. - Collaborate cross-functionally: Translate ambiguous business questions into data solutions; work with product engineering to improve event logging and measurement coverage. Qualifications - 8+ years of analytics engineering or data engineering experience, with clear progression to staff-level scope and impact. - Deep SQL expertise and strong Python skills. - Strong data modeling fundamentals — you know what clean, extensible, well-documented models look like and can build and enforce that standard regardless of tooling. Experience with dbt is a plus. - Experience with modern data stack tools: Databricks, Snowflake or BigQuery, Airflow or similar orchestration, Looker/Tableau or equivalent BI tools. - Track record of building resilient, monitored, production-grade data systems — not just pipelines that work, but ones that stay working. - Strong communicator who can make technical tradeoffs legible to non-technical stakeholders. Requirements - Bias Toward Action: Demonstrated ability to take initiative, make decisions under uncertainty, and move projects forward even in the face of ambiguity. - Entrepreneurial Spirit: Strong adaptability to changing business needs with a knack for building and optimizing processes. - Communication: Excellent communication skills, capable of explaining complex technical concepts to non-technical stakeholders. - Remote Work Adaptability: Comfort with remote work environments, demonstrating the ability to stay productive and connected with the team irrespective of physical location. - Continuous Improvement: A willingness to question assumptions and a commitment to continuous improvement. Nice-to-Have Skills and Experiences - Experience with health tech or regulated data environments (HIPAA, PHI/PII handling). - Familiarity with Databricks Unity Catalog, Delta Lake, or Spark. - Experience building or integrating with AI/LLM-powered analytics tools or data agents. - GCP experience. Core Values - Ruthless Prioritization: We don’t let perfect get in the way of progress. - Member-First, Always: We design and deliver like we’re caring for someone we love. - One Team, Moving Fast: We are aligned in purpose, prioritization, and speed. - Radical Ownership, Relentless Execution: We don’t just ship– we own outcomes and drive results. - Mission Over Ego: We are ruthlessly aligned to our mission– and leave ego at the door. - Sustained Integrity in Every Detail: We earn trust by obsessing over accuracy, quality, and clarity in everything we do. Benefits - Competitive salary and benefits package. - Flexible working hours. - Dynamic work environment where creativity and innovation are encouraged. Important Notice Legitimate communication from the Function Health team will always come from an email address ending in @functionhealth.com. Function Health will never request personal information such as banking details or payment during the hiring process. Please be cautious of communications or job offers that come from other email domains, instant messaging platforms, or unsolicited calls. If you ever have doubts about the legitimacy of a communication, please reach out to us directly at talent@functionhealth.com.
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
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Python, Observability/Monitoring, Data Engineering, SQL, AWS, Snowflake
