Analytics Engineer Remote Jobs in Washington (US)
This page tracks remote analytics engineer openings that are location-eligible for Washington.
This page tracks remote analytics engineer openings that are location-eligible for Washington.
Open jobs
556
Hiring companies this week
9
Salary sample
$45 - $200,000
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556 Jobs
426 Companies
Improving health, transforming care and disrupting inequitable systems through the Centering group model
• Implements and advances CHI's data, evaluation, and impact initiatives. • Compiles, cleans, merges, harmonizes, and maintains data from multiple internal and external sources. • Conducts descriptive statistical analyses and applies or adapts consistent methods across projects, learning new methods as needed. • Prepares analytic outputs including tables, visualizations, and narrative summaries. • Establishes and advances quality assurance (QA) and data validation protocols and audits. • Documents and maintains operational procedures, to support accuracy, consistency, usability, and ethical data practices. • Advances data practices that reflect CHI's commitment to equity, including culturally responsive and participatory approaches where appropriate and feasible. • Develop and tests data collection tools to ensure data gathered across the organization is consistent, high-quality, and aligned with organizational goals. • Collaborates with cross-functional teams to communicate findings, translate data into actionable insights, and support evidence-informed decision-making. • Partners with CHI teams to ensure integrated, high-quality data collection, analytics, and insights. • Translates project scopes, analysis plans, and data findings for technical and non-technical internal and external audiences. • Promotes data literacy and capacity across teams. • Develops and refines KPIs, performance metrics, and monitoring tools and processes that drive organizational learning, accountability, and strategic decision-making. • Facilitates proposal development and reporting for general and data- and evaluation-related funding opportunities. • Leads and enhances data-related processes and functions that promote continuous improvement, knowledge sharing, innovation, and alignment with CHI's strategic goals. • Collects and compiles data from public health datasets and research and conducts literature reviews to support CHI's programs, evaluation efforts, and strategic initiatives. • Develops content for and contributes to external publications, presentations, briefs, and other materials that communicate CHI's impact, outcomes, and value proposition. • Ensures the timely fulfillment of data and evaluation-related components of grant, partnership, and contractual deliverables. • Maintains regular communication with project team members and coordinates project activities to support successful execution and delivery.
We believe in the power of change, harnessed in ways that matter for our country and communities.
• The Senior Data/ETL Engineer builds robust ELT/ETL pipelines into ADW • Implementing authoritative transformations and optimizing performance for analytics workloads • Redesigns GoldenGate flows, rebuilds or retires materialized views and batch jobs • Supports historical archiving for CAMP • Creates technical designs based on specifications • Develops and tests application modules within modern solutions • Evaluates corporate operating processes and recommends efficiency improvement options • Performs or coordinates website updates
• Design and implement a formal analytics data layer using AWS Glue, Athena / Presto, and LookML • Collaborate within the Data Science & Analytics team and across Product & Engineering to define, document, and maintain alignment on metric definition and data lineage • Develop and maintain automated data reconciliation and quality checks to proactively identify and resolve discrepancies, ensuring accuracy and consistency of critical reports and dashboards • Lead investigations into complex data anomalies, conduct root cause analysis, and communicate findings and solutions effectively to both technical and non-technical audiences • Mentor and guide members of the data science and analytics team, establishing and enforcing best practices around data modeling, testing, documentation, and code review
EquipmentShare provides construction equipment and technology to thousands of contractors across the United States. The company has hired in the past for jobs w
Role Description We’re hiring an Analytics Engineer to support our Corporate Headquarters in Columbia, MO and we’re looking for someone who’s ready to grow with us, bring energy and drive to their work, and help us build the future of construction. This position is fully remote. - Develop and manage data pipelines using SQL and Python that extract data from various sources and transform it according to business rules - Create/update data models in dbt to ensure scalable, robust data solutions - Convert business needs into technical specifications and establish a timetable for job completion - Create, test, and deploy changes - Continuously monitor, improve, and proactively identify potential issues to improve the data pipelines and ETLs Qualifications - Desire to thrive in a fast-paced environment and strong ability to adapt as priorities, timelines, and project scope shift - Strong verbal and written communication skills - Ability to work without constant supervision and is a self starter - Ability to work quickly and think logically, especially under pressure - Thrives on learning and growth opportunities; desires new challenges and enjoys a good puzzle - Sound communication skills and the ability to influence and manage cross-functional stakeholders - Detail oriented, but able to pivot and re-prioritize efforts as required - Ability to use diplomacy and tact when handling problems - Ability to be flexible and adapt to change in a positive manner Requirements - At least 5 years of SQL experience, creating complex SQL solutions to business problems - At least 2 years of Python experience, creating scalable processes to solve business problems - At least 2 years of experience data modeling - Experience modeling using dbt - Support day-to-day reporting and analytics, reducing complexity in accessing and querying cross-functional data - Experience working with git Preferred Qualifications - Experience using Looker Business Intelligence Tool Benefits - Competitive compensation - Full medical, dental, and vision coverage for full-time employees - Unlimited PTO + paid holidays - 401(k) + company match - Gym membership stipend + wellness programs (earn PTO and prizes!) - 16 hours of paid volunteer time per year — give back to the community you call home - Career advancement, leadership training, and professional development opportunities Physical Requirements - Prolonged periods sitting at a desk and working on a computer A Workplace For All At EquipmentShare, we believe the best solutions come from a team that reflects the world around us. Our initiative — A Workplace For All — is rooted in the belief that we must work together to solve some of the toughest problems in construction. That means attracting, developing, and retaining great people from all walks of life. We value different backgrounds, talents, and perspectives. We want you to feel like you belong here — because you do. EquipmentShare is an EOE M/F/D/V. Employment is contingent on passing a background check. Additionally, some roles require passing a drug test, depending on the job responsibilities.
• Querying complex source systems in a range of health data sources (e.g., EMRs, ECG data, DICOM data) to identify and map data elements in order to create high-quality datasets to support training AI algorithms and conducting in-depth analyses of patient journeys • Developing and maintaining data transformation pipelines using dbt and Snowflake, ensuring data quality, lineage, and transparency. • Harmonizing multimodal data from multiple health systems into a unified ontological layer ready for use by data scientists and AI developers, with input from clinical experts across the company. • Performing complex data extraction, manipulation, and summarization of large databases to create analytical data models; • Implementing data quality tests, CI/CD and version control best practices for analytics codebases throughout the data modeling pipeline. • Supporting software engineers in optimizing processes and technical solutions for de-identification and ETL of clinical data from disparate health system cloud environments to Dandelion Health’s data warehouse. • Working with experts in natural language processing (NLP) to structure and model discrete clinical concepts data that have been abstracted from unstructured and semi-structured text data. • Collaborating with technical and clinical subject matter experts and Dandelion customers to translate research and model requirements into engineering solutions.
• Own the analytics platform roadmap — prioritizing improvements, architecture decisions, and tooling enhancements in partnership with IT and the Head of Data, Analytics and AI Solutions • Define and enforce platform SLAs, data quality standards, and operational runbooks • Serve as technical mentor to the Analytics Engineer/Data Scientist • Own the end-to-end data pipeline from ingestion through transformation and delivery into BI tools and data products across our AWS stack (Step Functions, Glue, Snowflake, dbt, Sigma) • Partner with third-party vendors to maintain DataOps infrastructure using infrastructure-as-code practices • Monitor pipeline health and drive timely resolution of data issues with providers and consumers • Maintain and evolve an enterprise data model, data dictionary, and business rules agnostic across sources, insurance products, and distributors • Enforce Snowflake security best practices — masking policies, RBAC, and least-privilege access — aligned to GLBA NPI/NPI-H classification requirements • Champion data governance, lineage, and quality standards; support NAIC MDL-668 audit trails, SOC 2 Type II evidence collection, and adherence to CCPA/CPRA, HIPAA, and state breach notification requirements • Design and maintain systems of record for core insurance domains (policy, claims, billing, distribution, customer) with proper versioning, effective dating, and audit history • Own database design and management for AI tools and models, including vector databases, feature stores, and model input/output pipelines • Design and maintain a semantic layer enabling natural language insight discovery • Own executive and operational dashboards from board-level reporting down to day-to-day operations • Set BI development standards for the Analytics Engineer/Data Scientist to execute against • Maintain and enhance actuarial data pipelines including distributed compute and Glue Jobs for data curation • Advise on data architecture decisions supporting future AI/ML and modeling use cases
AI-powered investigations and threat intelligence to fight crime and build a safer world.
• Designing and implementing graph algorithms that analyze large cryptocurrency transaction networks at multi-blockchain scale • Researching new graph-native technology to evaluate benefit to data science and data engineering teams at TRM • Working on a highly cross-functional team that collaborates with cryptocurrency investigators to identify key user stories and requirements for new graph algorithms and features • Understanding and refining TRM’s risk models which analyze large networks of cryptocurrency transactions to assign risk scores to addresses • Communicating complex implementation details to a variety of audiences from investigators and customer success stakeholders to data engineers and data scientists • Integrating with a diverse set of data inputs ranging from raw blockchain data to complex model outputs
• Develops and maintains analytical models, dashboards, and data products • Partners closely with application development, data engineering, and business teams • Designs, develops, and maintains Power BI reports, dashboards, and semantic data models • Builds and maintains statistical models, trend analyses, and forecasting tools • Ensures data accuracy, consistency, and integrity across reporting outputs
Putting the “Health” in Healthcare IT
• Administer Microsoft SQL Server databases in both Windows and Linux environments supporting NPIRS production and development systems • Monitor SQL Server health, performance, storage utilization, and database availability across multiple platforms • Perform routine server monitoring and daily operational health checks • Develop, schedule, monitor, and troubleshoot SQL Server Agent jobs, automated database processes, alerts, Database Mail notifications, and scheduled operational workflows • Execute scheduled SQL Server maintenance activities, including weekly server patching and maintenance windows • Troubleshoot SQL Server performance issues, database connectivity problems, and production incidents • Maintain database security, permissions, access controls, and ensure compliance with organizational standards • Support disaster recovery readiness, high availability solutions, and coordinate infrastructure upgrades • Manage Linux-based database systems including shell scripting and system administration • Design, develop, test, and maintain complex SQL queries, stored procedures, views, functions, and reusable database components • Develop and optimize advanced SQL solutions utilizing Microsoft SQL Server and IBM DB2 healthcare data sources • Develop cross-platform SQL solutions integrating SQL Server reporting environments with DB2 databases • Translate complex healthcare reporting requirements and legacy report logic into validated SQL business rules, including exception handling, reconciliation, and data-quality controls • Optimize SQL code for performance and scalability across multiple database platforms • Create validation scripts and resolve database-related defects • Implement data models and database structures according to best practices • Design, develop, modify, validate, and maintain SQL Server Reporting Services (SSRS) reports • Lead modernization efforts by converting SAP Crystal Reports to SSRS while maintaining functionality • Translate legacy Crystal Reports business logic into validated SSRS solutions while preserving business rules and report functionality • Interpret healthcare reporting requirements and convert them into validated SQL datasets, report parameters, reconciliation logic, exception processing, and data-quality controls • Develop and maintain standardized reporting templates • Perform report validation, peer reviews, and maintain SDLC documentation • Develop, maintain, troubleshoot, and optimize SSIS packages supporting enterprise reporting and healthcare data integration • Support automated processing, scheduled data loads, ETL workflows, and validation • Support data integration initiatives across multiple systems and platforms • Perform database migrations and conversions between platforms with minimal downtime • Migrate databases and reports between different environments • Support cloud database platform initiatives • Ensure data integrity throughout migration processes • Provide production support for NPIRS operational systems • Monitor production database jobs, reporting services, SQL Server Agent jobs, and automated workflows • Perform proactive morning operational monitoring and respond to infrastructure incidents • Support production deployments, server patching, and operational documentation • Collaborate with cross-functional teams to implement technical solutions
Enabling better, smarter, safer healthcare to improve lives.
• Leading healthcare analytics software solutions for HIS products and clients, collaborating within an agile team of engineers and developers • Implementing enterprise scale application, and reporting solutions. • Determining the design, coding, and delivery of Solventum HIS products and customer solutions. • Supporting Solventum HIS product development for customers across the US and the globe. • Working closely with other teams to deliver our data driven products.
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SQL, AWS, Python, Cloud, ETL, dbt