Design, build, and maintain ETL/ELT pipelines and integrations across legacy and cloud systems.
Model, store, and transform data to support analytics, reporting, and downstream applications.
Build API-based and file-based integrations across enterprise platforms.
Jobgether is a platform that uses AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly. They identify the top-fitting candidates and share this shortlist directly with the hiring company.
Build and optimize scalable, efficient ETL and data lake processes.
Own the ingestion, modeling, and transformation of structured and unstructured data.
Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows.
Launch Potato is a digital media company that connects consumers with brands through data-driven content and technology. They have a remote-first team spanning over 15 countries and have built a high-growth, high-performance culture.
Create and maintain optimal data pipeline architecture
Extend our machine learning platform by designing tools that interface with cloud services
Build the infrastructure required for optimal extraction, transformation, and loading of data
NinjaHoldings aims to revolutionize how Americans interact with financial services. They have a lean and innovative team that empowers people overlooked by traditional financial institutions through digital banking and lending products.
Contribute to the technical integrity and evolution of the Data Platform tech stack.
Design and implement core features and enhancements within the Data Platform.
Build and maintain robust data extraction, loading, and transformation processes.
Dimagi is an award-winning social enterprise and certified B-corp building software solutions and providing technology consulting services to improve the quality of essential services for underserved populations. They are passionate and committed to tackling complex health and social inequities and working towards a brighter future for all.
Build and maintain Azure Data Factory pipelines to ingest data from multiple sources.
Write Python code in Databricks to clean raw data and move it into the silver layer, handling deduplication, type casting, and validation.
Monitor daily jobs and troubleshoot any failures to ensure pipeline stability.
Jobgether is a platform that leverages AI to connect job seekers with employers. They focus on ensuring fair and efficient application reviews, connecting top candidates directly with hiring companies.
Lead, coach, and develop a team of data platform engineers—supporting technical growth, career progression, and performance.
Define and execute the platform strategy and roadmap aligned with company priorities and partner needs.
Ensure the design and operation of high-performance pipelines and data services (batch and streaming) for large-scale workloads.
Pismo, founded in 2016 and acquired by Visa in 2024, provides a comprehensive processing platform for banking, card issuing, and financial market infrastructure, helping customers innovate and build next-generation solutions. With 500+ employees across 10+ countries, Pismo's cloud-based platform empowers firms to launch financial products rapidly while maintaining high security and availability.
Lead the strategy, design, and delivery of scalable data platforms for enterprise customers.
Provide technical leadership through architecture decisions and code reviews.
Mentor and grow a distributed team of engineers, promoting a culture of accountability.
Jobgether's partner is seeking a Software Engineering Manager. The company fosters a culture of innovation and continuous improvement within a fully distributed workforce.
Design, develop, and maintain ETL/ELT pipelines on cloud-based data platforms.
Build data ingestion, transformation, and orchestration workflows using tools such as Azure Data Factory, Airflow, Fivetran, or similar.
Develop transformations and data processing logic using platforms such as Databricks, Snowflake, or equivalent.
Ankura Consulting Group, LLC is an independent global expert services and advisory firm. They deliver services and end-to-end solutions to help clients at critical inflection points related to conflict, crisis, performance, risk, strategy, and transformation, and consists of more than 2000 professionals.
Design Scalable Data Architecture: Build modern, cloud-native data platforms (AWS, Snowflake, Databricks) supporting batch and streaming use cases.
Develop Efficient Data Pipelines & Models: Automate ETL/ELT workflows, optimise data models, and enable self-serve analytics and AI.
End-to-End Data Ownership: Manage ingestion, storage, processing, and delivery of structured and unstructured data.
Trustonic provides smartphone locking technology, enabling global access to devices and digital finance. They partner with mobile carriers, retailers, and financiers across 30+ countries, powering device financing solutions. They celebrate diversity and aim to do the right thing for each other, the community, and the planet.
Serve as a primary advisor to identify technical improvements and automation opportunities.
Build advanced data pipelines using the medallion architecture in Snowflake.
Write advanced ETL/ELT scripts to integrate data into enterprise data stores.
Spring Venture Group is a digital direct-to-consumer sales and marketing company focused on the senior market. They have a dedicated team of licensed insurance agents and leverage technology to help seniors navigate Medicare.
Build and maintain Azure Data Factory pipelines for data ingestion.
Write Python code in Databricks for data cleaning and transformation.
Monitor daily jobs and troubleshoot pipeline failures to ensure reliability.
Jobgether is a platform that helps candidates find relevant jobs through AI-powered matching. The company ensures applications are reviewed quickly, objectively, and fairly against the role's core requirements.
Design, build, maintain, and operate scalable streaming and batch data pipelines.
Work with AWS services, including Redshift, EMR, and ECS, to support data processing and analytics workloads.
Develop and maintain data workflows using Python and SQL.
Southworks helps companies with software development and digital transformation. They focus on solving complex problems and delivering innovative solutions.
Architect our AWS-based data warehouse and ingestion pipelines.
Transform high-volume simulation outputs into clean, trusted datasets.
Establish schema standards and data contracts with engineering.
Onebrief provides collaboration and AI-powered workflow software designed for military staffs, making them faster, smarter, and more efficient. The company, founded in 2019, values ownership and excellence, with a team spanning veterans and technologists; it has raised $320m+ from investors and is valued at $2.15B.
Partner with BI Analysts, Operations, Product, and Engineering teams to define and assess data requirements.
Design, implement, and maintain ETL/ELT pipelines and data integrations.
Build and manage data architecture, including relational and dimensional databases or cloud data warehouses.
Jobgether is an AI-powered matching service that helps candidates get reviewed quickly, objectively, and fairly. They identify top-fitting candidates and share this shortlist directly with the hiring company.
Lead, mentor, and develop a high-performing data engineering squads delivering production-grade pipelines and services.
Set technical and operational standards for quality, documentation, and reliability.
Partner with Program Management to plan, prioritise, and track delivery against sprint goals.
Forbes Digital Marketing Inc. is a high-growth digital media and technology company dedicated to helping consumers make confident, informed decisions about their money, health, and everyday life. We combine data-driven content, rigorous experimentation, and modern engineering to power a portfolio of global products and partnerships.
Design and build robust, highly scalable data pipelines and lakehouse infrastructure with PySpark, Databricks, and Airflow on AWS.
Improve the data platform development experience for Engineering, Data Science, and Product by creating intuitive abstractions, self‑service tooling, and clear documentation.
Own and maintain core data pipelines and models that power internal dashboards, ML models, and customer-facing products.
Parafin aims to grow small businesses by providing them with the financial tools they need through the platforms they already sell on. They are a Series C company backed by prominent venture capitalists, with a tight-knit team of innovators from companies like Stripe, Square, and Coinbase.
Designing, building and maintaining data pipelines and data warehouses.
Developing ETL ecosystem tools using tools like Python, External APIs, Airbyte, Snowflake, dbt, PostgreSQL, MySQL, and Amazon S3.
Helping to define automated solutions to solve complex problems around better understanding data, users, and the market
Neighborhoods.com provides real estate software platforms, including 55places.com and neighborhoods.com. They strive to foster an inclusive environment, comfortable for everyone, and will not tolerate harassment or discrimination of any kind.
Design, develop, and optimize data architecture and pipelines aligned with ETL/ELT principles.
Architect workflows using DBT to convert raw data into actionable analytics.
Maintain production data pipelines with Python, DBT, Matillion, and Snowflake.
Jobgether is a platform that connects job seekers with partner companies. They use AI-powered matching to ensure applications are reviewed quickly and fairly.
Design and implement scalable, reliable, and efficient data pipelines to support clinical, operational, and business needs.
Optimize data storage and processing in data lakes and cloud data warehouses (Azure, Databricks).
Proactively suggest improvements to infrastructure, processes, and automation to improve system efficiency, reduce costs, and enhance performance.
Care Access is dedicated to ensuring that every person has the opportunity to understand their health, access the care they need, and contribute to the medical breakthroughs of tomorrow. They are working to make the future of health better for all and have hundreds of research locations, mobile clinics, and clinicians across the globe.
Design and implement robust data infrastructure in AWS, using Spark with Scala
Evolve our core data pipelines to efficiently scale for our massive growth
Store data in optimal engines and formats, matching your designs to our performance needs and cost factors
tvScientific is the first CTV advertising platform purpose-built for performance marketers. They leverage data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. tvScientific is built by industry leaders with history in programmatic advertising, digital media, and ad verification.