This page tracks remote data engineer openings that are location-eligible for New Mexico.
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We are a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health.
• Lead the vision, strategy, and roadmap for Natera’s health system data sharing initiatives, including platforms that integrate Natera’s genomic data with health system clinical data to enable advanced analytics, clinical insights, and operational intelligence. • Identify and prioritize high-value opportunities for secure data exchange, interoperability, and analytics across health systems, including use cases that support clinical decision-making, research, and population health. • Collaborate with engineering, data science, and design teams to define product requirements (PRDs, user stories, user flows) and deliver scalable, high-quality data platform, analytics, and AI-driven insights solutions. • Develop products and user experiences that enable clinicians and health systems to derive insights and actions from combined genomic and clinical datasets, including dashboards, workflow integrations, and AI-assisted recommendations. • Evaluate and integrate third-party technologies (e.g., data interoperability frameworks, analytics platforms, and AI/ML tools) to accelerate development and improve performance. • Develop and track success metrics (e.g., adoption, data utilization, clinical impact, performance, and partner satisfaction) to measure impact and identify continuous improvement opportunities. • Partner with health system stakeholders, clinical informatics teams, and business leaders to ensure seamless integration into clinical workflows and EMR ecosystems.
Role Description You'll be one of the analytics leaders for how Meta transforms its Enterprise through AI. This is a 0→1 role with enterprise-wide scope, high ambiguity, and direct visibility to leadership. If you want to shape how 70,000+ people work—and measure whether it's actually working—this is the job. We are open to hiring Data Science or Data Engineering profiles. In our world, both are Analytics. The work will span the full spectrum—from building the data infrastructure that powers enterprise measurements to shaping the strategic frameworks that define what "good" looks like. Your title matters less than your demonstrated experience to operate across that range. This role reports to Enterprise Analytics leaders and will be one of the experienced ICs on a new “Ecosystem" analytics team. You'll sit at the intersection of the teams actually building Meta's internal AI future and Enterprise Engineering (EE), which manages 680+ products and 6 of Meta's top 10 internal tools. - 🔥 Firefighter Mode - Leadership asks "what's the ROI of [new AI tool]?" on Wednesday. You have an answer by Friday. - A team claims their AI initiative saved 10,000 hours. You validate (or invalidate) it. - You rapidly instrument, measure, and communicate whether it's working. - You jump into whatever is urgent and ambiguous—and you close it. - 🧠Systems Thinker Mode - Build measurement frameworks that work across wildly different AI tools and use cases (coding, analytics, recruiting, HR support, supply chain, finance and more). - Create the dashboards, workspaces, semantic models and self-serve layers that let stakeholders across the company understand progress without pinging you. - Design and scale the data pipelines and instrumentation that capture agent telemetry, usage signals, and outcome metrics across a fragmented and fast-moving tool landscape. - Shape the strategy for how we think about productivity, time savings, and quality improvements in an AI-augmented workforce. - Influence how Analytics (and business functions) evolve their operating models, job profiles, and organization structures for the AI era. Qualifications - Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. - AI power user. You're already a power AI user in your day-to-day work—Metamate, Claude, Cursor, or whatever tools make you faster. - 0→1 builder experience. You've built measurement systems from scratch in ambiguous spaces. - Speed + rigor. You can move fast without being sloppy. - Executive communication. You'll regularly present to leadership. - Cross-functional influence. You'll work across dozens of teams. - Honesty. Some AI initiatives won't work. Preferred Qualifications - Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact. - Experience adhering to and implementing responsible, ethical AI practices. - Demonstrated ongoing AI skill development and staying current with emerging AI technologies. - Experience with productivity/efficiency measurement, internal tools, or enterprise products. - Familiarity with LLMs, agentic systems, or AI tooling. - Prior experience in a founding/early team member role. Compensation $253,000/year to $314,000/year + bonus + equity + benefits
Role Description Sifted Logistics Intelligence (“Sifted”) is at the forefront of logistics optimization, providing a cutting-edge SaaS platform and predictive analytics tools designed to revolutionize the way parcel shippers manage their operations. We're looking for a product-minded data engineer who ships end-to-end features, not just pipelines. You'll own the full lifecycle of data and AI-powered products — from pipeline to production — and work directly with customers, ops, and product to define and solve the right problems. - Build and maintain the data pipelines, automation, and product features that shippers and 3PLs depend on. - Partner with product, operations, domain experts, and customers to define problems and validate that what you build actually solves them. - Own problems end-to-end — from understanding the business need through designing, building, shipping, and supporting the solution in production. - Write and own your own tests and data-quality checks, catching correctness issues before they reach customers. - Use AI and automation to accelerate how you build, while verifying and standing behind everything you ship. - Work across the stack — data, backend, and the customer-facing surfaces — going wherever the problem leads. Qualifications - Experience with a modern cloud data warehouse (e.g. Snowflake, BigQuery, Redshift) and its transformation tooling (e.g. dbt). - Demonstrated success implementing CI/CD pipelines (e.g., GitHub Actions, Azure DevOps, Jenkins, BitBucket pipelines). - 3+ years of professional experience in software engineering or data engineering. - Designed or managed data pipelines handling millions of records daily. - Proven experience gathering requirements and working directly with stakeholders. - Experience deploying and maintaining systems in cloud environments (AWS, Azure, or GCP). - Demonstrated ability and willingness to embrace AI as a core tool for problem-solving and innovation. Requirements - Hands-on experience with C# and/or React (Nice to Have). - Background in parcel shipping or third-party logistics (3PL) (Nice to Have). Benefits - Well capitalized Private Equity investor focused on Growth. - Best-in-class compensation package and an unmatched comprehensive benefit program. - Flexibility to achieve and accomplish results. - Extremely collaborative work environment across teams to drive results. - Culture is built on how we improve people’s lives.
Role Description The Data Stewardship team is a group of passionate data practitioners with a diverse background in analytics, data modeling, governance, compliance, and scaled data quality. We are responsible for ensuring Airbnb is meeting its compliance obligations across our data ecosystem and ensuring data consumers are able to easily identify the best data for their needs. We support the pipelines, programs, and policy-bodies that make this possible. You’ll be part of the overall Data Infrastructure organization that is responsible for online and offline data infrastructure across the company, and the components that transition data between these environments. The Difference You Will Make - Set the North Star: define the multi-year vision for Data Governance and Data Quality that scales with our global business and evolving AI landscape. - Organizational Influence: act as a primary consultant for executive leadership on data governance, ensuring that compliance and stewardship are integrated into the data product lifecycle from day one. A Typical Day - Architect Ecosystems: lead the design of overarching data architectures that don't just solve today’s batch needs but anticipate future real-time and AI-driven requirements. - Scale Best Practices: define the best practices, tooling, and culture that enable data organizations to maintain high-quality data autonomously. - Policy Stewardship: lead cross-functional task forces (Infosec, Legal, Privacy) to navigate complex regulatory landscapes (like GDPR or AI Act) and translate them into engineering requirements. - Mentor and Multiply: coach Senior and Staff engineers across the organization on data best practices, fostering a community of excellence. Qualifications - 12+ years of industry experience, with a proven track record of leading large-scale data initiatives across multiple departments or business units. - Demonstrated expertise in designing and evolving complex data ecosystems within complex, high-volume environments. - Experience influencing product and business strategy by leveraging data integrity as a competitive advantage. - Deep expertise in the Java/Scala/Spark ecosystem (preferably with knowledge of S3 and Iceberg). - Strong knowledge of relational databases and query authoring (SQL). - Strong ability to drive cultural shifts regarding data ownership and quality across an entire engineering organization. Location This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Our Commitment To Inclusion & Belonging Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com . Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. Benefits - Base pay range: $248,000 — $310,000 USD. - Role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
• Use Google Big Query and GCP Suite or similar big data tools to deliver on datawarehouse and reporting requirements • Use with Databricks and similar ETL tools to perform data extract and transformation of high volume (10’s of millions) of records • Architect, Design, and Build pipelines to move large amounts of data from variety of sources (postgres DBs, REST APIs, Databricks etc) • Improve existing data warehouse architecture to enable robust user facing and internal reporting • Handle large amounts of data and complex integration processes • Build reusable code and libraries for future use • Expertise with Firestore a plus
8(a) HUBZone IT consultancy w/ advanced partnerships w/ Amazon Web Services, Microsoft Azure & Google Cloud Platform
• design, build, and maintain well-architected ETL pipelines • work at enterprise scale and process terabytes of financial data • ensure data is timely, accurate, and stored within contractually required timelines • build and maintain ingestion pipelines using AWS Glue • process and ingest large-volume XML filings • store curated zone data in Apache Iceberg tables • prevent duplicate data loads across target destinations • integrate the agency's ETL Common Library into Glue jobs • ensure all ETL jobs populate ETL Load Reports in real-time • implement technical data quality standards • develop and maintain the semantic layer • deploy ETL resources using CloudFormation templates • create and maintain documentation suite for each dataset • support operationalization of statistical outputs and derived data products
8(a) HUBZone IT consultancy w/ advanced partnerships w/ Amazon Web Services, Microsoft Azure & Google Cloud Platform
• Develop new ETL pipelines and data ingestion processes alongside senior engineers using AWS Glue (Spark-based, PySpark), MWAA (Airflow), Lambda, and SNS • Integrate the agency's ETL Common Library into Glue jobs for standardized orchestration, error handling, metadata recording, and SNS notifications for all success and error job events • Ingest structured and semi-structured datasets (CSV, XML, JSON, Avro, pipe-delimited) into S3 landing, raw, and curated zones using Apache Iceberg tables • Configure static ETL metadata in the centralized PostgreSQL metadata store; ensure dynamic metadata records job status and timestamps for all key execution steps • Monitor assigned production jobs and participate in operations support rotations • Ensure ETL Load Reports are populated in real-time and ETL Gap Reports are updated on a weekly basis • Build and maintain materialized views and semantic layer objects in Trino and Athena to ensure optimized query performance and consistent business logic • Produce and maintain required documentation for each assigned dataset: Business Requirements, ETL Design Documents, Data Models, Data Dictionaries, Mapping Documents, Deployment Documents, O&M Guides, and ETL Test Plans • Write unit and integration tests achieving the 90% minimum code coverage threshold; complete security scans at least once per sprint • Deploy ETL resources using CloudFormation templates through the agency CICD pipeline • Support transition of ETL jobs from other agency teams and disaster recovery exercises
Role Description MedInsight’s engineering team is building the next generation of healthcare data analytics. We are seeking a skilled and driven Data Engineer to design, build, and optimize scalable data solutions that power healthcare insights at scale. This role is ideal for someone with experience in modern data platforms, including Databricks, Spark, and cloud technologies, who is eager to take ownership of complex data engineering initiatives and contribute to the evolution of our data ecosystem. Primary Responsibilities - Build & Enhance Pipelines: Design, develop, and maintain scalable data pipelines to ingest, transform, and enrich complex healthcare data using Databricks and Spark. - Optimize Data Workflows: Analyze and improve data intake processes and optimize SparkSQL/Python workloads for performance, scalability, reliability, and cost efficiency. - Design Data Models: Develop and maintain data marts, semantic models, and curated datasets that support analytics products, reporting, and business intelligence initiatives. - Ensure Data Quality & Reliability: Monitor pipeline health, troubleshoot production issues, implement data validation frameworks, and maintain high standards for data quality and governance. - Collaborate Across Teams: Partner with product, analytics, and engineering teams to understand business requirements and deliver scalable data solutions. - Drive Continuous Improvement: Contribute to architecture decisions, engineering standards, automation efforts, and best practices across the data platform. Qualifications - Bachelor's degree in computer science, engineering, information systems, or related field; or equivalent practical experience. - 3+ years of experience in data engineering, software engineering, or a related technical field. - Strong proficiency in SQL and Python, with experience developing and maintaining production-grade data pipelines. - Experience working with large-scale data processing frameworks such as Apache Spark. - Strong understanding of relational databases, data modeling, ETL/ELT patterns, and data engineering best practices. - Experience troubleshooting and optimizing data workflows for performance and reliability. - Strong problem-solving skills, ownership mindset, and ability to collaborate effectively across technical teams. Preferred Skills - Experience with Databricks in a production environment. - Experience building Power BI Semantic Models and supporting analytics use cases. - Experience working with Azure or AWS cloud platforms. - Familiarity with data orchestration and workflow management tools. - Familiarity with AI-assisted development tools, such as Claude Code. - Experience working with healthcare data domains such as claims, EMR/EHR, provider, or payer data. - Experience mentoring junior engineers or providing technical guidance on projects. Location This role can be remote within the U.S. The expected application deadline for this job is July 15, 2026. Compensation The overall salary range for this role is $93,700 - $177,675. For candidates residing in: - Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, New York City, Pennsylvania, Virginia, Washington, or the District of Columbia the salary range is $107,755 - $177,675. - All other locations the salary range is $93,700 - $154,500. A combination of factors will be considered, including, but not limited to, education, relevant work experience, qualifications, skills, certifications, etc. Benefits - Medical, Dental and Vision – Coverage for employees, dependents, and domestic partners. - Employee Assistance Program (EAP) – Confidential support for personal and work-related challenges. - 401(k) Plan – Includes a company matching program and profit-sharing contributions. - Discretionary Bonus Program – Recognizing employee contributions. - Flexible Spending Accounts (FSA) – Pre-tax savings for dependent care, transportation, and eligible medical expenses. - Paid Time Off (PTO) – Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis. - Holidays – A minimum of 10 paid holidays per year. - Family Building Benefits – Includes adoption and fertility assistance. - Paid Parental Leave – Up to 12 weeks of paid leave for employees who meet eligibility criteria. - Life Insurance & AD&D – 100% of premiums covered by Milliman. - Short-Term and Long-Term Disability – Fully paid by Milliman. Equal Opportunity All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran.
Astrana Health is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. All employment is decided on the basis of qualifications, merit, and business need. If you require assistance in applying for open positions due to a disability, please email us at humanresourcesdept@astranahealth.com to request an accommodation. The job description does not constitute an employment agreement between the employer and employee and is subject to change by the employer as the needs of the employer and requirements of the job change.
Role Description Supervisor - Electronic Data Interchange (Astrana Health Management Inc.; Alhambra, CA): Develop data structure and software applications, and improve software platforms and systems to support business needs. Design, test, deploy, improve, and maintain software that will be used internally and externally by physicians and patients. Key Responsibilities - Apply expertise on emerging or existing massive data to create and scale insights. - Develop large-scale models to support specific business needs and enhance the company's efficiency. - Improve system design and architecture to ensure performance and high stability of services. - Troubleshoot, debug, and upgrade large-scale distributed systems by systematic problem-solving approach to improve product performance and the whole lifecycle of software services. - Monitor system scalability and reliability and understand the importance of experimentation framework, monitoring, and alerting. - Produce specifications and determine operational feasibility, document and maintain software functionality, and integrate software components into a fully functional software system. - Manage project requirements, priorities, and deliverable timelines effectively. - Collaborate with different functional teams to integrate software applications and technical solutions. - Work with business users, engineers, and other stakeholders to execute mission-critical projects. - Identify high priority engineering tasks/projects and review, analyze, and deliver technical requirements. - Understand product objectives to align with user demands. - Collaborate with engineering teams, customers, and PM and PSO teams to fulfill fast-growing technical demand. - Supervise EDI Analyst I & II (2). - Telecommuting permitted from within the U.S. Qualifications - Bachelor’s degree or foreign equivalent in Computer Science, Computer Engineering, Information Systems, or related field. - Two (2) years of experience as a Software Engineer, Software Developer, or related occupation. Requirements - Experience with designing and building large-scale distributed systems. - Improving software system scalability, performance, and reliability. - Applying data structures, algorithms, and software engineering principles. - Object-oriented programming language: Java, Python, or C#. - Debugging and optimizing complex systems. - Software Development Life Cycle (SDLC), including testing, deployment, and maintenance. - Collaborating with cross-functional teams to deliver technical solutions. Benefits - Compensation: $129,667 - $140,000 / year. - Employment Type: Full Time. - Location: Remote.
Role Description Join a team where your work truly makes an impact. In this role, you’ll leverage your expertise in Data Warehousing and Business Intelligence to design scalable, flexible, and resilient data solutions that support the continued growth and mission of TWIA/TFPA. You’ll play a key role in transforming data from multiple sources into meaningful insights, powering critical decision-making across the organization. Working closely with teams throughout our Property & Casualty insurance business, you’ll help deliver accurate, actionable intelligence to a wide range of stakeholders—turning complex data into real business value. If you’re passionate about building data-driven solutions and collaborating across the enterprise, this is an opportunity to make a lasting impact. Candidates selected for the Data Warehouse Developer position with TWIA/TFPA will be placed at a level that aligns with their demonstrated skills, competencies, and professional experience. Qualifications - Four-year college degree, preferably in CS, engineering or other technical field, or equivalent experience. - 7-12 years of directly relevant experience in Data Warehouse/Business Intelligence. - 3-8 years of hands-on experience in building ETL, reporting, and Data Visualization solutions using tools (Ex: SAP Data Services, Informatica, Data Stage, Microsoft SSIS packages, QlikView, Tableau etc.). - 1-5 years of work experience in Guidewire Data Management tools. - Experience in building conceptual, logical, and physical data modeling; dimensional modeling preferred. - Significant experience in software development processes and best practices. - Understanding of business operations - preferably property and casualty insurance. - Clear, effective verbal and written communication skills including the ability to actively listen, problem solve, and communicate with both technical and business users. - Demonstrated experience working both as an individual contributor and as part of a team. - Experience in providing guidance to junior developers, quality assurance, and business analysts. - Attention to detail with self-discipline, strong ownership and accountability and drive for results. Requirements - Develops recommendation and conducts analysis in support of department and business line strategic efforts. - Confers with client, technical staff, and team members to plan, design, develop, implement, and enhance applications, scripts, procedures, and metadata for relational databases. - Champion enterprise data management best practices & provides recommendations for data architecture structure and standards. - Participate in end-to-end architecture & data warehouse life cycle management activities & provides recommendations. - Manage numerous requests concurrently and strategically, prioritizing when necessary. - Designs, develops, and implements the data architecture for a data warehouse, including high-performance ETL (Extract, Transform, and Load) tools and routines and the infrastructure. - Recognize and leverage data sources both internally and externally to enhance the analysis capabilities. - Reverse Engineers data specifications from source systems through data discovery, analysis, and other techniques. - Develops and maintains Data Models, including Enterprise Data Dictionary. - Establishes methods and procedures for tracking data quality, completeness, redundancy, and improvement. - Participates with application and infrastructure design architects to provide guidance for development and releases. - Influences technology direction and/or adjustments to incorporate into business plans. - Influences the selection of hardware and software product standards and the design of standard configurations; makes significant contributions to market-centric technology roadmaps and architectural principles and frameworks. - Reviews and ensures major architectural designs are consistent, maintainable, flexible and cost effective solutions. - Leads retrospectives and defines opportunities for experiments and POC`s. - Perform troubleshooting on all ETL processes and resolve issues effectively within IT service level agreements. - Lead by example, engaging hands-on in complex data challenges and Information Management projects to derive deep insights from data. - Oversee business intelligence/data warehouse security and data load and implementation strategies. - Lead enterprise projects through all phases of System Development Life Cycle (SDLC)/ Agile process. - Perform other duties as assigned. Benefits - Comprehensive medical, dental, vision, group life, AD&D, and dependent life insurance coverage. - Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA) with a generous annual HSA employer contribution. - A 401(k) retirement plan with employer matching contributions up to 6%, in addition to a pension plan that begins vesting at 5 years of employment. - Active support for professional growth, including ongoing training and professional development opportunities sponsored by TWIA, support to obtain professional certifications, and a tuition reimbursement program. - Generous paid time off, including vacation, sick leave, paid holidays, and personal days. - Flexible scheduling to support work-life balance.
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SQL, ETL, Python, AI, AWS, Oracle
