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.
Design, develop, and maintain a core Python ETL framework.
Develop and optimize an automated refresh pipeline orchestrated through AWS Batch, Lambda, Step Functions, and EventBridge.
Build Python integrations with external systems that are robust, testable, and reusable.
BlastPoint is a B2B data analytics startup that helps companies engage with customers more effectively by discovering insights in their data. Founded in 2016 by Carnegie Mellon Alumni, they are a tight-knit, forward-thinking team that serves diverse industries including energy, finance, retail, and transportation.
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.
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, build, and operate data infrastructure that powers Tebra’s intelligent features.
Translate business requirements into software solutions that accelerate our ability to deploy AI.
Monitor data pipelines, detect anomalies, and implement automated recovery systems.
Tebra unites Kareo and PatientPop, providing a digital backbone for practice well-being, supporting both products with a shared vision for modernized care. Over 100,000 providers trust Tebra to elevate patient experience and grow their practice, building the future of well-being with compassion and humanity.
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.
Design and implement robust, production-grade pipelines using Python, Spark SQL, and Airflow.
Lead efforts to canonicalize raw healthcare data into internal models.
Onboard new customers by integrating their raw data into internal pipelines and canonical models.
Machinify is a healthcare intelligence company delivering value, transparency, and efficiency to health plan clients. They serve over 85 health plans, including many of the top 20, representing more than 270 million lives, with an AI-powered platform and expertise.
Design, build, and maintain scalable ETL pipelines for large-scale data processing.
Implement data transformations and workflows using PySpark at an intermediate to advanced level.
Optimize pipelines for performance, scalability, and cost efficiency across environments.
Truelogic is a leading provider of nearshore staff augmentation services headquartered in New York. Their team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects.
Architect, design, implement, and operate end-to-end data engineering solutions.
Develop and manage robust data integrations with external vendors.
Collaborate closely with Data Analysts, Data Scientists, DBAs, and cross-functional teams.
SmartAsset is an online destination for consumer-focused financial information and advice, helping people make smart financial decisions. With over 59 million people reached each month, they operate SmartAsset Advisor Marketing Platform (AMP) to connect consumers with fiduciary financial advisors.
Design, build, and optimize data pipelines and workflows.
Drive scalable data solutions to support business decisions.
Contribute to architectural decisions and provide technical leadership.
Jobgether is a platform that uses AI to match candidates with jobs. They focus on ensuring fair and objective reviews of applications by using AI to identify top-fitting candidates for hiring companies.
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.
Design, develop, and maintain dbt data models that support our healthcare analytics products.
Integrate and transform customer data to conform to our data specifications and pipelines.
Design and execute initiatives that improve data platform and pipeline automation and resilience.
SmarterDx, a Smarter Technologies company, builds clinical AI that is transforming how hospitals translate care into payment. Founded by physicians in 2020, our platform connects clinical context with revenue intelligence, helping health systems recover millions in missed revenue, improve quality scores, and appeal every denial.
Collaborate with cross-functional teams and business units to understand and communicate Ion’s needs and goals.
Develop, improve, and maintain robust data pipelines for extracting and transforming data from log files and event streams.
Design models and algorithms to derive insights and metrics from large datasets.
Intuitive is a global leader in robotic-assisted surgery and minimally invasive care. Their technologies, like the da Vinci surgical system and Ion, have transformed how care is delivered for millions of patients worldwide. They are a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human.
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.
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.
Lead the design and implementation of scalable ETL pipelines and data lakes in AWS
Develop and optimise data architectures for terabyte-scale relational and distributed data systems
Collaborate with Data Scientists, Software Engineers, and Architects to integrate data solutions into analytics platforms and applications
Smart Working connects skilled professionals with outstanding global teams for full-time, long-term roles. They help discover meaningful work with teams that invest in your success, empowering you to grow personally and professionally in a remote-first world.
Play a key role in designing, developing, and delivering modern data solutions that drive business insight and innovation.
Implement scalable, high-performing cloud architectures that support analytics, AI, and operational excellence.
Be responsible for technical delivery, authoring solution documentation, and ensuring data pipelines and models meet enterprise standards for performance, reliability, and cost efficiency.
3Cloud is a company where people aren’t afraid to experiment or fail. They hire people who care about the collective growth and success of the company, challenging each other to live by 3Cloud’s core values, and resulting in amazing experiences and solutions for clients and each other.
Design, build, and maintain pipelines that power all data use cases.
Develop intuitive, performant, and scalable data models that support product features.
Pay down technical debt, improve automation, and follow best practices in data modeling.
Patreon is a media and community platform where over 300,000 creators give their biggest fans access to exclusive work and experiences. They are leaders in the space, with over $10 billion generated by creators since Patreon's inception, with a team passionate about their mission.
Architect and implement Databricks Lakehouse solutions for large-scale data platforms.
Design and optimize batch & streaming data pipelines using Apache Spark (PySpark/SQL).
Implement Delta Lake best practices (ACID, schema enforcement, time travel, performance tuning).
They are looking for a Databricks Architect to design and lead modern Lakehouse data platforms using Databricks. The role focuses on building scalable, high-performance data pipelines and enabling analytics and AI use cases on cloud-native data platforms.
Designing and maintaining scalable, secure data pipelines that feed BigQuery from diverse sources
Owning our infrastructure-as-code setup using Terraform
Automating data QA, modeling, and maintenance tasks using scripting and AI
TheyDo helps enterprises align around their customers with an AI-powered journey management platform, fostering smarter decisions and enhanced experiences. With $50M backing and a global team across 27 countries, TheyDo champions a customer-led, people-first culture.
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.