Design production data pipelines using Databricks Lakeflow, Autoloader, and Structured Streaming with CI/CD.
Architect Lakehouse solutions including medallion architecture and Unity Catalog for analytics and AI.
Collaborate with product and backend engineers to design data models and APIs that serve the product.
Livefront helps companies design and build world-class digital products. They have worked with major brands and startups, fostering a culture built on respect, mutual trust, and egoless collaboration.
Data Ingestion & Pipeline Reliability: Ensuring continuous, accurate data availability by monitoring and optimizing batch and real-time streaming pipelines.
Data Mart Delivery & Business Modeling: Delivering query-ready Gold-layer data marts by partnering with Data Analytics and Data Science teams.
Data Quality Frameworks & Precision: Maintaining flawless data integrity by writing and deploying automated data quality test suites.
Trupanion is a leading provider of medical insurance for cats and dogs in North America, helping pet owners budget and care for their pets. The company offers a collaborative, casual, and pet-friendly environment where everyone is encouraged to be themselves.
Design, build, and maintain scalable data pipelines and ETL/ELT processes using Databricks and Spark.
Architect and optimize data models and storage solutions for analytics and operational use.
Implement observability, alerting, and data quality monitoring for critical pipelines.
Sonatype provides end-to-end software supply chain security solutions, protecting against malicious open source and managing SBOMs. With over 2,000 organizations and 15 million developers using its platform, it focuses on innovation and security in software development.
Build and maintain data pipelines using Databricks, dbt, Airbyte, and Airflow.
Contribute to data platform architecture and modeling, delivering trusted datasets.
3+ years experience in Data Engineering with strong SQL, Python, and cloud skills.
Ayming is an international consulting firm that supports businesses in digital and technological transformation. The company is expanding its technology, data, and transformation teams in Portugal and fosters a collaborative, innovative work environment.
Own core data pipelines end to end, building and operating ELT pipelines that move data from product and third-party systems into Snowflake.
Build the data foundation for AIDE's AI initiatives, making governed data available for agentic AI tooling.
Own data governance and pipeline health, including access controls, data quality, and warehouse cost management.
Benchling is an AI platform for biotech R&D that enables scientists to design experiments, capture structured data, and run AI agents in their workflows. Over 200,000 scientists worldwide trust Benchling, and the company emphasizes AI fluency and innovation in its culture.
Design, develop, and maintain scalable data pipelines and infrastructure.
Collaborate with cross-functional teams to ensure data integrity and usability.
Implement data quality and governance practices within data pipelines.
We help large enterprises transform with AI and tech-integrated solutions. With 8,000 employees across 25+ countries, we collaborate to build solutions with real impact.
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.
Build, maintain, and optimize data pipelines ingesting data from multiple source systems into Snowflake.
Develop scalable data models using dbt and support reporting, BI, analytics, and downstream applications.
Partner with business teams to translate data needs into practical solutions and ensure data reliability.
Moultrie is a customer-driven company that builds products and experiences to make a meaningful difference for customers. It values innovation, collaboration, curiosity, and delivering results, with a growing Data & Analytics team.
Build and maintain reliable data pipelines and ETL/ELT workflows.
Develop and optimize data models for analytics and internal tools.
Support core data platform tools like Spark and AWS, and monitor pipeline quality and performance.
Sonatype is the software supply chain security company, providing end-to-end software supply chain security solutions. Over 2,000 organizations, including 70% of the Fortune 100, and 15 million software developers rely on Sonatype to optimize their software supply chains.
Design and maintain data ingestion and transformation pipelines using dbt, SQL, and Python.
Develop semantic and analytical models in star/snowflake schemas and optimize query performance.
Collaborate with analysts and stakeholders to deliver trusted insights and support BI dashboards.
Oddin.gg builds a real-time data platform for esports analytics. The company fosters a collaborative, engineering-led culture with a strong focus on analytics and personal growth.
Design, build and maintain scalable ingestion and transformation pipelines across Microsoft Fabric and Azure Synapse Analytics.
Develop dimensional and medallion-layer data models, and optimize queries and semantic models for performance.
Act as line manager to junior data engineers, providing technical guidance, mentoring, and performance management.
Morgan Advanced Materials uses advanced ceramic and carbon materials to solve difficult problems for customers across diverse markets. Founded in the UK in 1856, the company has grown into a global organization with 70 sites in 18 countries, approximately 8,000 employees, and revenue of £1,100.7m in 2024.
Build and maintain data ingestion pipelines from enterprise systems and APIs.
Develop SQL and Python solutions for data transformation and curation.
Partner with analytics and engineering teams to deliver governed data products.
AHEAD builds and operates data capabilities to help teams access trusted information. The company fosters a product-oriented engineering culture with a focus on collaboration and AI-assisted development.
Build and optimize scalable data pipelines using Databricks, Spark, and PySpark for cloud migration.
Design and maintain data models (Bronze, Silver, Gold layers) to enable analytical insights.
Ensure data quality and governance while managing the technical roadmap and communicating with stakeholders.
CI&T helps large companies transform AI potential into real business impact with AI deployment and tech-integrated solutions. They have 8,000 employees across 25+ countries, fostering a collaborative and innovative culture.
Design, build, and maintain scalable data pipelines and ETL/ELT processes supporting cloud-based data environments for the Department of Veterans Affairs.
Implement patient-matching and record-linkage logic across multiple identifiers to ensure accurate, deduplicated Veteran data across disparate source systems.
Harmonize datasets across VA facilities, resolving structural and format inconsistencies to produce analysis-ready data assets.
Aptive partners with federal agencies to achieve their missions through improved performance, streamlined operations and enhanced service delivery. Founded in 2012, the company employs over 300 people nationwide and focuses on human-centered services.
Lead the complete data chain for the Foundation Pod, covering ingestion, Bronze, Silver, Gold layers, and the Power BI semantic layer.
Build, optimize, and maintain scalable ETL/ELT data pipelines and Gold certified datasets to drive BI and analytics.
Implement robust Data Lakes, Data Warehouses, and integration layers aligned with the global data strategy.
We help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact.
Lead the design and implementation of scalable data models and pipelines that turn complex data into clear, trustworthy insights.
Drive adoption of best practices for dbt development, testing, and CI/CD while mentoring peers.
Partner with analysts, engineers, and stakeholders to translate business requirements into well-structured data models.
Velir is an established mid-sized agency with a top-tier portfolio of clients, ranging from non-profits to Fortune 500 brands. As of 2023, Velir acquired Brooklyn Data Company, a premier data and analytics consultancy, and our culture is built on trust, collaboration, and continued improvement.
Build and maintain data ingestion and transformation pipelines using Dagster, dbt, and Snowflake through PR-driven development.
Manage production monitoring, backfills, and Airbyte connections to ensure reliable daily data flows.
Collaborate with analytics and product teams on dimensional modeling and data quality, and participate in code review and runbook writing.
PadSplit is at the forefront of solving the affordable housing crisis through its tech-driven platform. They have a growing remote-first team and offer a competitive benefits package including unlimited PTO and paid parental leave.
Develop and maintain data pipelines using Databricks, PySpark, Python, and SQL to transform raw financial data into reliable, curated datasets.
Integrate new data sources, support financial reconciliation, P&L routines, and global closing processes, ensuring data consistency and accuracy.
Collaborate with multidisciplinary teams to deliver high-quality data solutions, support AI initiatives, and implement continuous improvements in data performance and quality.
CI&T helps large companies transform AI potential 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 25+ countries, they collaborate to build solutions with real impact.
Design, build, and maintain scalable data platforms and solutions for business needs.
Optimize robust data pipelines using Databricks and modern frameworks.
Manage CI/CD pipelines for automated deployments and act as technical advisor.
Tieto Tech Consulting is a digital accelerator that combines business design with software engineering to drive innovation. With around 280 employees across Austria and Germany, they foster an open, collaborative culture and are part of a global team of 8,000.
Design and implement modern data platforms using Microsoft Fabric and Databricks, building performant ELT/ETL pipelines and scalable lakehouse architectures.
Develop complex Power BI data models and visually compelling reports that drive measurable client decisions, ensuring data quality and usability.
Work directly with client stakeholders to gather requirements, provide expert guidance, and build strong relationships as a trusted technical advisor.
Collectiv is a boutique consulting and strategy firm specializing in Analytics, Planning, and AI with Power BI and the Microsoft Data Stack. They are a fully remote team with a growth mindset and a focus on helping enterprises make better decisions.