Design, build, and maintain scalable, event-driven ELT pipelines in AWS to ingest data from various sources.
Write infrastructure-as-code, use Dagster for orchestration, and implement data quality checks to ensure reliable data operations.
Collaborate with Analytics and Platform Engineers to architect data systems that support clinical analytics and operational reporting for healthcare services.
Design, build, and maintain scalable ELT pipelines.
Architect and manage event-driven data pipelines in AWS.
Write and maintain infrastructure-as-code to deploy and manage data ingestion workloads.
Imagine Pediatrics is a tech-enabled, pediatrician-led medical group that reimagines care for children with special health care needs. They deliver 24/7 virtual-first and in-home medical, behavioral, and social care, working alongside families, providers, and health plans.
Design, build, and maintain scalable data platforms using AWS to support analytics, machine learning, and emerging generative AI use cases.
Collaborate with data scientists, analysts, and engineering teams to translate business and AI requirements into scalable data solutions.
Work with large-scale datasets to build and optimize data pipelines using AWS services such as EMR (Spark, Trino), S3, Glue, Athena, and Airflow
Experian is a global data and technology company, powering opportunities for people and businesses around the world. They invest in people and new advanced technologies to unlock the power of data and to innovate. A FTSE 100 Index company listed on the London Stock Exchange, they have a team of 23,300 people across 32 countries.
Design and optimize scalable cloud-based data architectures.
Develop and maintain robust data pipelines, models, and systems across cloud platforms.
Mentor Data Engineers, guiding them in data modeling, troubleshooting, and best practices.
Personify Health has created a personalized health platform, bringing health plan administration, well-being solutions, and care navigation together. Their team is on a mission to empower people to lead healthier lives.
Guide clients on optimizing their data environment.
Develop system engineering, integrations, and architectures based on client needs.
Implement and advise on data warehouse solutions, ETL pipelines, and BI reporting tools.
Jobgether helps candidates get their applications reviewed quickly and objectively. They use AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.
You will join a team of talented engineers working closely with Data Scientists to build and scale our next-generation Ad EnGage data pipeline.
You will work with large-scale datasets (hundreds of TBs to petabyte-scale systems) using a modern data stack centered on AWS, Airflow, dbt, and Snowflake.
You’ll contribute to building reliable, high-quality data pipelines and improving the performance, scalability, and observability of our data platform.
EDO is the TV outcomes company. Their leading measurement platform connects convergent TV airings to the ad-driven consumer behaviors most predictive of future sales. They are headquartered in New York City and Los Angeles with an office space in San Francisco and recognize the benefits of hybrid working.
Own and operate our data warehouse, pipelines, and transformation layer
Design, build, and maintain scalable, reliable data pipelines that ingest data from across our platform and third-party sources, ensuring data is always available and trustworthy for downstream consumers
Partner with data scientists and analysts to deliver clean, well-documented datasets and optimize query performance so teams spend less time wrangling data and more time generating insights
Atticus makes it easy for any sick or injured person in crisis to get the life-changing aid they deserve. In the last six years, they've become the leading platform connecting people with disabilities to government benefits. In 2025, their team grew from 151 to 210, and they will grow again in 2026.
Architect production-grade data pipelines integrating clinical data across multiple channels.
Build and optimize cloud-native data infrastructure using AWS.
Collaborate with data science teams to build foundations for predictive analytics.
Jobgether is a platform that uses AI to match candidates with jobs and ensure applications are reviewed quickly and fairly. They help the hiring company identify the top-fitting candidates.
Build and optimize scalable ETL and data lake processes to proactively catch issues.
Own the ingestion, modeling, and transformation of structured and unstructured data to support business reporting.
Partner with BI and Analytics to deliver clean datasets that improve user acquisition and revenue.
Launch Potato is a profitable digital media company that connects consumers with leading brands through data-driven content and technology via brands like FinanceBuzz. Headquartered in South Florida, the company operates with a remote-first, high-growth team spanning over 15 countries and values speed, ownership, and measurable impact.
Own organizational-wide data architecture, defining standards and designs.
Design and develop data pipelines, integrations, and platform features.
Partner with product managers to define new data features and capabilities.
They offer a connected equipment platform for managing mixed assets. The company values quality, continuous learning, and collaboration within a dynamic team environment.
Lead, mentor, and scale a high-performing data engineering team.
Design and evolve our core data infrastructure on AWS, Apache Airflow, and Apache Spark.
Tekmetric is an all-in-one, cloud-based platform helping auto repair shops run smarter, grow faster, and serve customers better. Officially founded in Houston in 2017, Tekmetric has grown from a single shop’s vision to the industry’s leading solution. They value transparency, integrity, innovation, and a service-first mindset.
Design, build, and maintain data pipelines using Snowflake, Airflow, and DBT
Lead architectural discussions around the modern data stack
Develop scalable ETL and ELT processes using Python and SQL
They are a well-funded healthcare technology company using AI and modern data infrastructure to transform how healthcare and public health decisions are made. The team is small, mission-driven, and building systems that turn raw healthcare data into actionable intelligence at scale.
Build data pipeline, ELT, and infrastructure solutions to power internal analytics and customer-facing data products.
Design and optimize ETL processes that merge data from disparate sources for consumption by analysts, business owners, and customers.
Redesign and optimize existing data processes using AI, such as LLM-assisted development, to improve team productivity and enhance data quality.
Recharge is the subscription platform for the world's fastest-growing brands and Shopify's premier subscription solution, building the future of commerce around customer retention. As a hands-on partner to over 20,000 global brands, it is known for relentless product innovation and a culture that values ownership and empathy.
Build and maintain software and data pipelines in support of contract management and AI-assisted workflows
Work cross-functionally with Product, Engineering, and subject matter experts to conceptualize, prototype, and build data solutions
Contribute to data capabilities around contract modeling, automated pricing, and payer policy intelligence
Turquoise Health is a Series C price transparency platform for finance leaders across healthcare. It is a remote-first, US-based team that values transparency, empathy, inclusivity, creativity, and ownership with over 300 enterprise organizations as clients.
Lead data architecture design, API assessment, and ETL requirements during the Discovery & Design phase.
Develop / configure CMIC ERP API integration to establish reliable data exchange between the ERP system and the AWS platform.
Design/implement data pipelines using AWS Glue for ETL processing of subcontractor documents and ERP data.
Capnexus is a comprehensive services provider with a team of experienced professionals in designing, building, and supporting retail software. They operate as a build-as-a-service provider with a culture built on outcomes and delivery.
Design, build, and support modern data environments in public or multi-cloud enterprise architectures.
Orchestrate data pipelines using modern tools and design integrations for transactional processing systems.
Engineer robust and automated pipelines to ingest and process structured and unstructured data using batch and streaming mechanisms.
AHEAD builds platforms for digital business by weaving together advances in cloud infrastructure, automation and analytics, and software delivery to help enterprises deliver on digital transformation. The company prioritizes creating a culture of belonging where all perspectives are represented and valued, and it is an equal opportunity employer focused on diversity and inclusion.
Prepare and manage pre-stage files for backbook conversion activities.
Support and execute data ingestion tasks in alignment with scheduled project events, including key mock events.
Monitor and ensure data ingestion completion within defined SLA windows.
Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. They help their clients modernize, capitalize on emerging trends, and evolve their business for the coming decades by remaining tech-agnostic and human-centered.
Lead and grow a team of data engineers responsible for SentiLink’s data platform and infrastructure.
Define and drive the technical vision for data ingestion, processing, storage, and serving systems.
Design and evolve scalable data pipelines (batch and real-time) to support product and data science use cases.
SentiLink provides identity and risk solutions. They empower institutions and individuals to transaction with confidence. They have grown quickly and are backed by world-class investors.
Create and maintain optimal data pipeline architecture.
Assemble large, complex data sets that meet functional and non-functional business requirements.
Identify, design, and implement internal process improvements, automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.
Coderoad is a software development company that provides end-to-end software development services. It provides an opportunity to work on exciting, real-world projects in a supportive environment, offering staff augmentation, dedicated IT teams, and general software engineering.
Design, build, and maintain efficient data pipelines (ETL processes) to integrate data from various source systems into the data warehouse.
Develop and optimize data warehouse schemas and tables to support analytics and reporting needs.
Write and refine complex SQL queries and use scripting (e.g., Python) to transform and aggregate large datasets.
Deel is an all-in-one payroll and HR platform tailored for global teams. As one of the largest globally distributed companies, Deel's 7,000 team members span over 100 countries, fostering a dynamic culture of continuous learning and innovation.
Design, build, and maintain scalable data infrastructure to support analytics and reporting across the organization.
Develop and operate ETL pipelines to ingest, transform, and deliver large-scale datasets.
Partner closely with Data Analysts and cross-functional stakeholders to provide reliable datasets and guide them in using data effectively.
Truelogic is a leading provider of nearshore staff augmentation services headquartered in New York. With over two decades of experience, they deliver top-tier technology solutions to companies of all sizes. Their team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies in their projects.