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 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.
Own the implementation design across the platform — ingestion, modeling, and the surfaces people consume
Shape the detailed architecture from the high-level direction, working with the architecture team
Set the engineering standards and mentor data engineers
PerfectServe is a leading provider of clinical communication and physician scheduling solutions in the health IT space. The company has over 400 employees and $100 million in annual revenue, with a collaborative culture focused on innovation and customer delight.
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.
Design, build, and maintain scalable data pipelines and integrations across AWS and Microsoft technologies.
Develop and enhance data models and warehouse structures that support analytics, reporting, and business intelligence use cases.
Partner with engineering, product, and analytics teams to translate business needs into well-designed technical solutions.
VERSANT is a media and entertainment company that owns iconic brands across news, sports, and entertainment, including CNBC, Golf Channel, and Fandango. It operates across multiple markets with a culture emphasizing trust, teamwork, transparency, agility, and an entrepreneurial spirit.
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.
Build and run the data platform, including Snowflake administration, access governance, and ingestion orchestration.
Set technical direction for the medallion architecture, dbt project standards, and reliability practices.
Mentor engineers and analysts, establishing the technical bar for data engineering at Eve.
Eve is redefining legal technology for plaintiff law firms, providing AI-powered solutions that handle cases from intake to resolution. Trusted by over 1000 law firms and backed by $160M from top investors, the company is growing rapidly with a world-class team.
Analyze, process, and interpret large datasets to generate actionable insights.
Develop and maintain ingestion and transformation processes.
Design data warehouse models.
Software Mind develops innovative software solutions for companies around the globe. They are a growing company with a culture of openness, respect, and grit, building cross-functional engineering teams.
Design, implement, and maintain end-to-end data pipelines (ELT/ETL) with focus on reliability, reprocessing, and cost-efficiency.
Orchestrate data loads using Airflow (AWS) and serverless functions, model data in Snowflake (bronze/silver/gold) and develop transformations with dbt.
Build integrations and services in Python with FastAPI, write high-performance SQL, and ensure data quality, observability, security, and documentation.
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 over 25 countries, they collaborate to build solutions with real impact.
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, build, and maintain the core data foundation including ingestion, modeling, and data marts to support agency, client, and AI consumers.
Handle fragmented marketing data across ad platforms and client-specific stacks with high reliability and reconciliation.
Collaborate cross-functionally to translate requirements into data solutions and use AI-agentic workflows to accelerate development.
Power Digital is an AI-Native Growth Firm built at the intersection of world-class talent and proprietary technology. We are a people-first firm with a culture built on curiosity, ambition, accountability, and commitment to delivering meaningful results.
Build and optimize cloud-native data pipelines on AWS with dbt, Airflow, and Spark.
Design and evolve data models for analytics, operational use cases, and AI/ML.
Raise the bar on data reliability through governance, testing, and lineage.
Sport Alliance builds the data platform behind Magicline and Finion, serving thousands of gyms and over 10 million members. The company is building an AI-first data team and offers a flexible, fitness-focused culture with a strong emphasis on learning and well-being.
Design, build, and maintain business-critical data pipelines, including data ingestion and AWS Glue/Spark jobs feeding the warehouse and Tableau.
Build and operate core data infrastructure: the data warehouse, orchestration, and BI/reporting platform, deployed across multiple regions.
Drive work across producer and consumer teams, communicate clearly, and own outcomes end to end.
Horizon3 is a fast-growing cybersecurity company that provides autonomous pentesting and assessment operations via its NodeZero platform. They are a team of former special ops and engineers, committed to a culture of respect, collaboration, ownership, and results.
Design and build scalable data pipelines and models for analytics and enterprise reporting.
Implement data validation and QA standards to ensure accuracy and reliability.
Collaborate with teams to translate reporting needs into well-modeled datasets.
Kin is an insurtech company that simplifies homeowners insurance, offering clear and affordable coverage especially in climate-risk areas. Founded in 2016, it is a remote-first employer with over 35 states represented and is recognized for its strong culture and growth.
Build and maintain trusted data products using Snowflake, dbt, and Fivetran.
Design scalable data pipelines and improve data quality, observability, and governance.
Partner with stakeholders to turn ambiguous data needs into reliable platform capabilities.
Granum is the leading software company serving landscapers and arborists across North America, providing industry-specific solutions for estimating, scheduling, and invoicing. We have a collaborative, innovative culture and have been recognized multiple times as a Best Place to Work, with a team of around 100-200 employees.
Build and maintain ELT pipelines using Snowflake and dbt to power the company's data platform.
Own the reliability and performance of the data stack, including testing, monitoring, and alerting.
Collaborate with internal teams and external clients to translate business needs into durable data solutions.
Jump is transforming the live sports experience with an end-to-end fan engagement platform for sports teams and venues. They are a remote-first team backed by top investors, driven by values of trust, teamwork, and innovation.
Own and evolve the analytics platform, including data models, pipelines, and governance to support internal and customer-facing analytics.
Collaborate with cross-functional stakeholders to build dimensional models, semantic layer metrics, and AI-assisted insight tools.
Mentor other engineers and drive data quality and governance processes across the team.
Afresh is an AI platform for grocery that uses proprietary AI to reduce food waste and optimize grocery operations. The company has scaled to 6 enterprise-grade solutions, works with major grocers like Albertsons and Meijer, and experienced 70% revenue growth in 2025, fostering a culture of proactivity, kindness, candor, and humility.
Develop complex data pipelines using Python and SQL to transform raw data into reliable components.
Design and maintain data infrastructure including Snowflake and Airflow for accurate, trusted data.
Collaborate with stakeholders across Executive, Product, and Engineering to translate business needs into technical solutions.
Pie Insurance is a technology-driven company that simplifies commercial insurance for small businesses. They are a diverse team of builders, dreamers, and entrepreneurs driven by core values.
Design and maintain scalable data pipelines and warehouse models, applying GenAI/LLM techniques to enhance data accessibility.
Leverage GenAI coding tools to improve code quality, testing, and delivery speed, while evaluating new technologies.
Establish standards for SQL development, data modeling, and production support, with on-call rotation for incident response.
Firstup is the world's first intelligent communication platform, improving employee experience at every moment that matters. Serving 40 of the Fortune 100 companies and reaching 17 million employees daily, the company fosters a high-growth, inclusive environment where ideas are rewarded.
Architect and implement scalable, secure, and reliable data pipelines using modern platforms like Spark, Databricks, and Airflow.
Develop ETL/ELT processes to ingest data from various structured and unstructured sources, and perform exploratory data analysis.
Collaborate with cross-functional teams to design data models, write clean Python code, and deliver end-to-end features.
Netomi is a leading agentic AI platform for enterprise customer experience, working with global brands like Delta and MetLife. Backed by WndrCo, Y Combinator, and Index Ventures, the company is a well-funded startup with a collaborative culture.