Build and edit SQL to power audience building and email and direct mail campaigns.
Work directly with a single enterprise client to understand their business needs and data landscape.
Design and build scalable data models that support the client's analytical and operational goals.
GrowthLoop is a founder-led company that builds a composable customer data platform and agentic marketing engine to help enterprises leverage first-party data for targeted campaigns. They partner with brands like Google, Costco, and Ford, and maintain a remote-first culture with teams across North America and beyond.
Own dashboard changes end to end in QuickSight and ThoughtSpot, including new metrics, SPICE refresh, and post-release validation.
Build and maintain batch and streaming ETL pipelines on AWS using Glue (PySpark), S3, Redshift, and Airflow DAGs.
Investigate customer-reported analytics discrepancies, root-cause data issues, and communicate findings across teams.
Eltropy is a digital conversations platform for credit unions and community financial institutions in the US. The Data Engineering & Analytics team builds AWS data pipelines and customer-facing dashboards that power analytics; they seek a collaborative engineer who learns fast and works across teams.
Design and build scalable data models and pipelines using Snowflake and dbt.
Collaborate with cross-functional stakeholders to translate business needs into data solutions.
Establish best practices for data modeling, metrics, and documentation to enable self-service analytics.
The company is a remote-first SaaS provider building scalable solutions for enterprise customers. It fosters a culture of ownership, collaboration, and continuous innovation.
Work across Product and GTM to turn ambiguous questions into useful metrics, models, and analyses.
Build and maintain dbt models and pipelines that create trusted views of our product, customers, and business.
Design clear data models, dashboards, and leverage LLMs to accelerate development while maintaining high correctness.
Linear builds the product development system for teams and agents, shaping tools for the AI era. Founded in 2019, with over 40,000 customers and a distributed team across North America, Europe, and Australia, we are united by focus, fast execution, and craftsmanship.
Own the Airflow codebase end-to-end, building reusable templates and enforcing standards.
Build and extend large-scale Spark pipelines on AWS Glue and support migration to Databricks.
Drive data model improvements around commercial pharma data with focus on structure and lineage.
Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, it surpassed $3B in revenue and values doing the right thing, customer success, employee success, and speed.
Build and maintain Silver and Gold data models, domain marts, curated datasets, and semantic assets for priority domains onboarding to Databricks.
Partner directly with business stakeholders to translate domain requirements and KPI definitions into governed, testable, and reusable transformation logic.
Create reusable domain patterns and analytical building blocks that allow teams such as FP&A, RevOps, and Marketing to operate more self-service over time.
Shield AI is a venture-backed defense-tech company protecting service members and civilians with intelligent systems. With offices worldwide, its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation technologies.
Analyze, estimate, and define data transformation requirements to load data into enterprise and custom-built analytics environments.
Create ETL architecture and design flows to illustrate data movement from production to analytics environments.
Lead analytics and data science ETL projects, evaluate technology needs, and recommend improvements.
Merastar Insurance Company is a leading specialized insurer providing affordable insurance solutions. With approximately $12 billion in assets and 7,500 associates, they serve over 4.6 million policies.
Design, develop, and maintain scalable data models for enterprise reporting and analytics.
Build and optimize ETL/ELT pipelines using modern data transformation frameworks like DBT.
Partner with business stakeholders to translate needs into scalable analytical solutions.
Agilon health is a healthcare company focused on transforming the delivery of care for Medicare Advantage and value-based care models. The company fosters a collaborative culture with a passion for improving healthcare through data and analytics.
Design and optimize modular dbt pipelines and performant technical schemas to set the team standard for data modeling.
Act as a technical bridge between Analytics, Operations, and Data Engineering to transform product requirements into robust data assets.
Diagnose performance bottlenecks and lower warehouse compute costs across modern data platforms, supporting migration to Snowflake.
Rula is a mental healthcare company dedicated to providing quality, evidence-based care to empower individuals. It is a remote-first company hiring in most U.S. states, with a culture focused on inclusion and employee well-being.
Own Silver and Gold layers in dbt, building clean, tested models and governing the semantic layer.
Lead BI tooling strategy and enable trusted self-serve analytics for stakeholders.
Partner with data engineering and analysts to translate questions into governed metrics.
We are a privately owned digital marketing company offering predictive analytics to the multifamily industry through our platform, Fiona. Serving ~1,000 multifamily clients, we have been a Top Workplace in Colorado since 2021 with a collaborative, transparent culture.
Design and build batch-oriented data pipelines and ETL workflows using AWS Glue, Lambda, and Step Functions.
Develop and optimize ingestion pipelines and analytical data models with Athena, Redshift, and ClickHouse.
Collaborate with backend engineers to integrate data workflows with microservices and ensure data quality and observability.
SavvyMoney is a US-based financial technology company providing integrated credit score and personal finance solutions to over 1,600 bank and credit union partners. It was recognized as a top workplace and Inc. 5000 fastest growing company, with a distributed team across the US, Canada, Europe, and India.
Build advanced data pipelines using Snowflake and AWS, leveraging AI-assisted development and Medallion Architecture.
Design analytical data models and write complex Python/SQL to ensure high performance and 99.95% uptime.
Mentor junior engineers and drive architectural improvements, supporting data governance and automation.
Spring Venture Group is a digital direct-to-consumer sales and marketing company specializing in Medicare Supplement and related products. It is a leading company with a family of brands and a dedicated team of licensed insurance agents, fostering a diverse and inclusive culture.
Data-Driven Culture: You will be an ambassador for our data-driven culture, shaping data to facilitate analysis and decision-making.
Data Management: You will ingest, clean, and organize raw data for team use.
Project Management: You will lead data projects from ingestion to reporting, handling ambiguity.
Super.com helps maximize lives by offering travel and financial products. As a fast-paced, high-growth tech company, we prioritize employee growth and career progression.
Lead the design and implementation of the enterprise data warehouse on Databricks, migrating from BigQuery.
Build scalable ETL/ELT pipelines and dimensional data models to support internal analytics.
Establish data warehouse standards, governance, and best practices across the organization.
Bloomerang is a nonprofit giving platform that helps tens of thousands of nonprofits raise more, recruit more, and retain more. The company has a mission-driven culture built on core values of Simplify, Care, and Act.
Design, build, and maintain scalable data pipelines and systems using Python, PySpark, and AWS-native services.
Develop and optimize data platforms on AWS, leveraging technologies like Redshift, Glue, and Athena.
Mentor junior engineers and collaborate with cross-functional teams in an Agile environment.
Capital Technology Group provides expert consulting services in software development, digital transformation, and data analytics. Recognized as a Top Workplace by The Washington Post, they foster a culture where employees feel trusted and empowered.
Leverage AI-assisted tooling to optimize data pipelines and code generation, and develop AI-ready datasets to support machine learning and GenAI initiatives.
Build Data Warehousing systems, reporting and analytics.
Translate business needs into technical requirements and specifications to support Data Engineering and Analytics Engineering development.
Loadsmart is a growth-stage logistics technology company valued at over $1 billion, reinventing the future of freight by helping shippers, brokers, warehouses, and carriers move more with less. With headquarters in Chicago and a globally distributed remote team, we are a collection of industry veterans and user-centered engineers committed to driving meaningful change.
Build and maintain scalable data pipelines using Python, dbt, and Snowflake-native tooling on AWS.
Develop and maintain Snowflake semantic views to support analytics and reporting needs.
Implement data access controls and ensure pipelines meet enterprise data governance standards.
The Enterprise Analytics Center of Excellence is building a next-generation analytics stack centered on Snowflake, AWS, and Sigma. The team focuses on collaboration, continuous improvement, and enabling analytics teams with reliable data.
Design and build scalable batch data pipelines using AWS Glue, Lambda, and Step Functions.
Optimize analytical data models and query layers with Amazon Athena, Redshift, and ClickHouse.
Collaborate with backend engineers to integrate data workflows with microservices and event-driven architectures.
The company is a technology organization focused on building scalable data platforms and analytics solutions. They operate with a distributed international team and emphasize modern engineering practices.
Guide strategic enterprise customers through cloud data engineering transformations, including performance testing and production-ready pipeline architecture.
Prove platform value by architecting solutions for big data, data warehousing, and lakehouse use cases.
Support technical sales through custom proofs of concept, workload sizing, and community workshops.
Databricks is the Data and AI company, providing a unified platform for data, analytics, and AI to over 20,000 organizations worldwide, including 70% of the Fortune 500. Headquartered in San Francisco with 30+ offices globally, it fosters a diverse and inclusive culture and offers comprehensive benefits.
Own the reliability of data pipelines, proactively identifying and fixing issues.
Design and optimize dimensional data models using dbt for scalable analytics.
Partner with technical and business teams to ensure data accuracy and usability.
Homeward creates financial products to simplify homebuying, giving buyers and sellers certainty. It is a remote-first real estate startup with a diverse team across multiple countries, grounded in values of empathy, focus, and teamwork.