Build automated testing frameworks to validate customer data, schemas, and identity resolution across the data ecosystem.
Develop automated tests for web and app events, SDK implementations, and customer journeys.
Use SQL and Python to identify data anomalies, validate large datasets, and automate regression testing.
Massive Rocket is a rapidly scaling Braze and Snowflake agency that transforms how digital marketing, product, and engineering teams connect. The company has grown quickly in five years and is building a culture of ownership, collaboration, and growth.
Partner with clients and implementation teams to understand data distribution needs and expected outputs.
Perform data analysis, data mapping, and validation of client deliverables.
Build and maintain data extract scripts with guidance from senior engineers; troubleshoot and improve performance.
Abacus Insights transforms healthcare data for health plans, enabling better decisions and outcomes. Backed by $100M from top investors, they foster a collaborative, curious culture with a focus on innovation and AI.
Build and maintain BigQuery data models using Dataform, following medallion architecture patterns (Bronze/Silver/Gold).
Contribute to Looker dashboards and LookML models, working alongside senior engineers and analysts.
Build and maintain robust Python data pipelines with testing, linting, and CI/CD integration.
Kitman Labs is a performance intelligence company that transforms how the sports industry uses data to unlock athlete potential. With over 2000 teams in 50 leagues across 6 continents, the company has assembled a team of top data scientists, sports performance scientists, and product specialists, fostering an innovative and collaborative culture.
Design and develop automated ETL/ELT pipelines to ingest data into Google Cloud Platform.
Implement Medallion Architecture patterns and maintain governed views in BigQuery.
Balance new solution development with production incident resolution and support.
Our partner is a company seeking a senior data professional to design, build, and operate scalable data solutions in a large-scale corporate environment. They collaborate across multiple business areas and combine development with operational support.
Perform end-to-end ETL and data warehouse testing to validate data migration, transformation, and loading processes.
Validate GoldenSource data feeds, workflows, and integration processes across relevant systems.
Collaborate with developers, business analysts, and stakeholders to ensure requirements and transformation rules are accurately implemented.
Our partner is a technology company specializing in IT and security solutions. They operate with a focus on data quality and a collaborative, technically focused environment.
Design, develop, and maintain Google BigQuery data warehouse solutions.
Implement data pipelines and ETL processes to support data integration and analytics.
Collaborate with cross-functional teams to gather requirements and deliver data solutions.
BarkleyOKRP is a creative agency specializing in advertising and marketing, committed to inclusive creativity and measurable results. It is a B Corp that values diversity, equity, inclusion, and belonging, though company size is not specified.
Implement and maintain metadata management and data quality platforms in a cloud-native AWS ecosystem.
Automate metadata ingestion, data lineage, and data quality monitoring using Python and SQL.
Collaborate with Data Engineering, Data Governance, and AI teams to drive data standards adoption.
Software Mind develops solutions that make an impact for companies around the globe. They build cross-functional engineering teams and their culture embraces openness, respect, grit, and enjoyment.
Develops and maintains data transformations using SQL and dbt to keep datasets accurate and up to date.
Investigates data quality issues by tracing data back through pipelines to identify root causes.
Collaborates with data developers and analysts to support the onboarding of new data sources.
CI&T helps large enterprises transform AI potential into real business impact with tech-integrated solutions. With 30 years of experience and 8,000 employees across over 25 countries, they foster a collaborative culture focused on innovation and inclusion.
Consult with customers to extract, transform, and load data into the Bluesight platform.
Validate, reconcile, and analyze data from disparate systems to ensure data integrity.
Collaborate cross-functionally with implementation, product, and engineering teams to improve processes and enhance data pipelines.
Bluesight creates groundbreaking solutions that increase efficiency, safety and visibility for health systems, hospital pharmacy, and pharmaceutical manufacturers. It is a high growth healthcare information technology company with a start-up vibe and over 3,000 customers using proven solutions.
Execute comprehensive test cases, identify data discrepancies, and document defects to ensure integrity of data pipelines and reporting.
Query and analyze complex data sets to verify processing aligns with business logic and specifications.
Contribute to maintaining and improving QA documentation, standard operating procedures, and testing frameworks.
Bounteous is a global AI services firm where agentic engineering and human experience converge to deliver transformative business outcomes. With more than 5,000 team members worldwide, Bounteous is backed by New Mountain Capital.
Review requirements and acceptance criteria to identify risks and edge cases.
Create, maintain, and execute test cases for expected behavior and workflows.
Use Claude Code and SQL to investigate defects and support automated testing.
Radicle Health is a collection of human services software products designed to foster collaboration and innovation, helping organizations better serve their communities. The mission-driven company offers a collaborative culture where employees take real ownership of their work and are invested in each other's growth.
Build and maintain data pipelines connecting source systems like e-commerce, marketing, and finance platforms to a data warehouse in Google BigQuery.
Model the data warehouse with clear logic, develop transformation models with tests and documentation, and ensure data reliability and consistent definitions.
Manage platform security, including access controls, pipeline monitoring, and automating processes with versioning, code reviews, and automated tests.
Naturtreu develops dietary supplements to help people care for their bodies consciously. The company is a 100% remote digital brand that has grown continuously since 2018, reaching hundreds of thousands of people monthly, with a team that values responsibility, practicality, and execution.
Build and maintain ETL/ELT pipelines to onboard new data sources and ensure reliable data delivery to the platform.
Collaborate with cross-functional teams to support data models, infrastructure, and data governance standards.
Explore and pilot new tools to improve pipeline reliability and onboarding speed.
B Lab is the nonprofit behind Certified B Corporations, a community of businesses that meet verified social, environmental, and governance standards. They are a global nonprofit with a mission-driven team working towards economic systems change.
Collaborate cross-functionally with teammates, external teams, and client stakeholders to integrate quality considerations throughout the SDLC.
Develop comprehensive test plans, test cases, and documentation to ensure thorough testing of features and functionalities.
Establish and enforce quality standards, track metrics, and automate testing processes to support continuous integration and deployment.
Bellese is a mission-driven digital services company pioneering innovative technology solutions in civic healthcare. They are a remote-first company with a collaborative learning environment focused on making a meaningful impact on public health outcomes.
Translate business goals into concrete data solutions.
Collaborate with peers, manage multiple priorities, and communicate project status.
Apply best practices in data pipelines, schemas, and system design.
DEPT is a growth invention company helping ambitious brands grow at the intersection of technology and marketing. With over 4,000 specialists, it values collaboration, curiosity, and getting things done.
Design and build batch data pipelines that ingest, validate, and transform multi-billion-row datasets.
Model complex real-world data including dimensional models and temporal data.
Develop and operate workloads on lakehouse platforms like Databricks, Spark, and Delta.
Simulmedia builds an advanced TV and streaming advertising platform. They have a team of engineers, data scientists, and designers who are obsessed with building cutting-edge technology.
Own external market data ingestion end to end, from acquisition to warehouse delivery.
Build entity resolution and canonical item models to map messy inbound records.
Set schema contracts and maintain dbt models across marketplace, vault, payments, and event data.
We are a collectibles trading platform that enables instant liquidity for items like trading cards and comics, with all assets securely vaulted and insured. We are a remote-first startup focused on growth and innovation, hiring across all functions.
Design, build, and maintain scalable data pipelines for ingestion and transformation.
Work with Python, SQL, Apache Airflow, and Google Cloud Platform.
Collaborate with cross-functional teams to deliver reliable and high-quality data solutions.
Our partner is a technology company focused on AI and data solutions. The team values collaboration, innovation, and continuous learning, and offers a remote work environment.
Design, develop, and maintain scalable ETL/ELT pipelines in Azure environments.
Build and optimize Data Lake and Data Warehouse solutions to support analytics and business intelligence.
Implement data quality validation, monitoring, and governance to ensure reliable and trustworthy data.
CI&T helps large enterprises transform the potential of AI into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across more than 25 countries, they combine human expertise with AI to build scalable and innovative technology solutions.
Design, architect, and develop robust GCP data pipelines for healthcare data solutions.
Maintain a holistic view of information assets through documentation and create technical design specs.
Collaborate with cross-functional teams to drive ML and data engineering initiatives that improve patient outcomes.
Egen is a data-first consulting company leveraging Google Cloud and Salesforce to help clients drive impact through data. It is a fast-growing, entrepreneurial firm with a culture focused on learning, innovation, and solving tough problems.