Collaborate with business leaders, engineers, and product managers to understand data needs.
Design, build, and scale data pipelines across a variety of source systems and streams (internal, third-party, as well as cloud-based), distributed/elastic environments, and downstream applications and/or self-service solutions
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
NBCUniversal is one of the world's leading media and entertainment companies that creates world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.
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 maintain scalable data pipelines.
Develop and implement data models for analytical use cases.
Implement data quality checks and governance practices.
MO helps government leaders shape the future. They engineer scalable, human-centered solutions that help agencies deliver their mission faster and better. They are building a company where technologists, designers, and builders can serve the mission and grow their craft.
Design, build, and maintain robust data pipelines.
Own and scale ETL/ELT processes using tools like dbt, BigQuery, and Python.
Build modular data models that power analytics, product features, and LLM agents.
Jobgether is a platform that uses AI to match candidates with jobs. They aim to review applications quickly and fairly, ensuring the top-fitting candidates are identified and shared with hiring companies.
Design, build, and operate ETL pipelines at scale.
Design data structure for data products.
Develop and operate API/tools related to data products and machine learning products.
Mercari is a company that provides a marketplace platform. They value teamwork and provide career growth opportunities as the company continues to expand.
Build and evolve our semantic layer, design, document, and optimize dbt models.
Develop and maintain ETL/orchestration pipelines to ensure reliable and scalable data flow.
Partner with data analysts, scientists, and stakeholders to enable high-quality data access and experimentation.
Customer.io's platform is used by over 7,500 companies to send billions of emails, push notifications, in-app messages, and SMS every day. They power automated communication and help teams send smarter, more relevant messages using real-time behavioral data; their culture values empathy, transparency, and responsibility.
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 own Sardine’s internal data infrastructure integrating CRM, marketing, product, finance, and operational systems.
Design, improve, and own ETL/ELT pipelines to ensure clean, reliable, and scalable data flows across the organization.
Partner with data, engineering, revenue/business operations, and executive stakeholders to define and track KPIs.
Sardine is a leader in fraud prevention and AML compliance. Their platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. Sardine has over 300 banks, retailers, and fintechs as clients and a remote-first work culture.
Design and launch our first production-grade data warehouse
Implement reliable ingestion from core clinical and operational systems
Establish data quality and monitoring standards used across engineering
Zócalo Health is a tech-enabled, community-oriented primary care organization. They serve people who have historically been underserved by the one-size-fits-all healthcare system and are scaling rapidly across states and populations.
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.
Creating and maintaining optimal data pipeline architecture.
Assembling large, complex data sets that meet functional & non-functional business requirements.
Building the infrastructure required for optimal extraction, transformation and loading of data from a wide variety of data sources using relevant technologies.
Mercer Advisors works with families to help them amplify and simplify their financial lives through integrated financial planning, investment management, tax, estate, and insurance services. They serve over 31,300 families in more than 90 cities across the U.S. and are ranked the #1 RIA Firm in the nation by Barron’s.
Design and build robust data pipelines that integrate data from diverse sources.
Build streaming data pipelines using Kafka and AWS services to enable real-time data processing.
Create and operate data services that make curated datasets accessible to internal teams and external partners.
Quanata aims to ensure a better world through context-based insurance solutions. It is a customer-centered team creating innovative technologies, digital products, and brands, backed by State Farm, blending Silicon Valley talent with insurer expertise.
Lead the development of ETL pipelines and Data Lake infrastructure.
Perform ETL and Sanitation on disparate data flows from multiple internal and external sources.
Maintain data security, quality, and performance with details documentation.
Swing Left helps people maximize their impact on competitive elections to help Democrats win. They have one million members, who have raised more than $140 million and engaged more than 50 million voters.
Design, optimize and own data pipelines that scrape, process and ingest transaction and listing data from major auction houses and marketplaces.
Build comprehensive monitoring and alerting systems to track latency, uptime, and coverage metrics across all data sources.
Continuously improve our data infrastructure by modernizing storage and processing technologies, reducing manual interventions, and optimizing for cost, performance, and reliability.
Alt is unlocking the value of alternative assets, starting with the $5B trading-card market. They let collectors buy, sell, vault, and finance their cards in one place and are backed by leaders at Stripe, Coinbase, Seven Seven Six, and pro athletes like Tom Brady and Giannis Antetokounmpo.
Design, develop, and optimize EDP data pipelines using Python, Airflow, DBT, and Snowflake for scalable financial data processing.
Build performant Snowflake data models and DBT transformations following best practices, standards, and documentation guidelines.
Own ingestion, orchestration, monitoring, and SLA-driven workflows; proactively troubleshoot failures and improve reliability.
Miratech is a global IT services and consulting company that brings together enterprise and start-up innovation, supporting digital transformation for some of the world's largest enterprises. They retain nearly 1000 full-time professionals, and their culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed.
Be the Analytics Engineering lead within the Sales and Marketing organization.
Be the data steward for Sales and Marketing: architect and improve the data collection.
Develop and maintain robust data pipelines and workflows for data ingestion and transformation.
Reddit is a community-driven platform built on shared interests and trust, fostering open and authentic conversations. With over 100,000 active communities and approximately 116 million daily active unique visitors, it serves as a major source of information on the internet.
Lead discovery conversations to understand client goals.
Design and deliver technical roadmaps for data platform adoption.
Build modern, reliable data pipelines and ETL/ELT frameworks.
InterWorks is a tech consultancy that empowers clients with customized, collaborative solutions. They value unique contributions, and their people are the glue that holds their business together as they pursue innovation alongside people who inspire them.
Design, build, and operate scheduled and event-driven data pipelines for simulation outputs, telemetry, logs, dashboards, and scenario metadata
Build and operate data storage systems (structured and semi-structured) optimized for scale, versioning, and replay
Support analytics, reporting, and ML workflows by exposing clean, well-documented datasets and APIs
Onebrief is collaboration and AI-powered workflow software designed specifically for military staffs. They transform this work, making the staff faster, smarter, and more efficient. The company is all-remote with employees working alongside customers; it was founded in 2019 and has raised $320m+.
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, and operate large scale data infrastructure systems across multiple environments to store, aggregate, and progress large amounts of data.
Build a data platform-as-a-service for internal customers, ensuring data integrity, sanity, tagging, and discoverability.
Bridge the gap between engineering and analytics, helping inform the roadmap for data infrastructure for the company.
Found is building tools that give self-employed people the security and peace of mind that has historically only been possible at big corporations. We’re a business bank account that automates taxes and expense tracking. We are looking for kind, resourceful, and passionate people to join us in building the safety net for self-employment.