Partner with clients and implementation teams to understand data distribution needs and expected outputs.
Perform data analysis, data mapping, and validation of client deliverables.
Build and maintain data extract scripts with guidance from senior engineers; troubleshoot and improve performance.
Abacus Insights transforms healthcare data for health plans, enabling better decisions and outcomes. Backed by $100M from top investors, they foster a collaborative, curious culture with a focus on innovation and AI.
Design, build, and maintain serverless data pipelines on AWS using Lambda, Glue, Athena, S3, and Step Functions to support analytics and AI.
Develop ETL/ELT workflows to ingest, cleanse, and load data from internal and third-party sources into a data lake, ensuring data quality and reliability.
Collaborate with Analytics, Data Science, and AI teams to understand data requirements and create robust data models and feature stores.
ParetoHealth is redefining how employers fund healthcare as the largest and fastest-growing benefits captive in the United States. Headquartered in Philadelphia, it is a rapidly growing company driven by core values such as Fire in the Belly and For the Greater Good.
Own dashboard changes end to end in QuickSight and ThoughtSpot, including new metrics, SPICE refresh, and post-release validation.
Build and maintain batch and streaming ETL pipelines on AWS using Glue (PySpark), S3, Redshift, and Airflow DAGs.
Investigate customer-reported analytics discrepancies, root-cause data issues, and communicate findings across teams.
Eltropy is a digital conversations platform for credit unions and community financial institutions in the US. The Data Engineering & Analytics team builds AWS data pipelines and customer-facing dashboards that power analytics; they seek a collaborative engineer who learns fast and works across teams.
Design, develop, and maintain scalable data pipelines to ingest, transform, validate, and store data from multiple internal and external systems.
Optimize data models and schemas for reporting and dashboarding, supporting enterprise analytics platforms.
Collaborate with data strategists, analysts, and solutions developers to enable analytics use cases and ensure compliance with federal security and regulatory requirements.
Aptive partners with federal agencies to achieve their missions through improved performance, streamlined operations and enhanced service delivery. Based in Alexandria, Virginia, the company supports over a dozen federal agencies and has over 300 employees nationwide.
Translate business goals into concrete data solutions.
Collaborate with peers, manage multiple priorities, and communicate project status.
Apply best practices in data pipelines, schemas, and system design.
DEPT is a growth invention company helping ambitious brands grow at the intersection of technology and marketing. With over 4,000 specialists, it values collaboration, curiosity, and getting things done.
Design and maintain scalable ETL pipelines for large-scale data migration and integration.
Build and optimize AWS-based data lake and warehouse solutions using services like Glue, S3, and Redshift.
Develop Python scripts and database procedures to automate data processing and transformation.
Our partner is a technology company specializing in cloud data engineering and migration solutions. They operate with a high-impact engineering team and foster a culture of innovation and remote collaboration.
Develop and implement data analysis techniques and ML models using customer data.
Create scalable data pipelines for feature extraction on cloud services.
Collaborate with engineering teams to productionize work and automate processes.
RRD is a leading global provider of marketing, packaging, print, and supply chain solutions. With 32,000 employees across 28 countries, the company values innovation, authenticity, and integrity.
Leverage 6+ years of data analysis expertise in a healthcare setting.
Apply deep knowledge of SQL, Python, and Databricks for data validation and reporting.
Utilize experience with Claims, Membership, or Clinical data to drive insights.
This company is a technology-enabled services firm that connects skilled professionals with healthcare projects. They focus on high-impact data initiatives and value a collaborative, quality-driven culture.
Transform complex healthcare data into actionable insights across claims, clinical, and member data domains.
Collaborate with analysts to define analytical approaches and support operational and clinical decision-making.
Work with SQL and Python to query, wrangle, and analyze complex datasets, supporting ad hoc deep dives.
Evergreen Nephrology partners with nephrologists to transform kidney care through a value-based, person-centered, holistic, and comprehensive approach. The company is committed to improving patient outcomes and quality of life by delaying disease progression, shifting care to the home, and accelerating kidney transplants, fostering a collaborative and innovative culture.
Design, develop, and maintain scalable data pipelines and ETL processes within Azure cloud environments.
Build and optimize data solutions using Azure Synapse, Azure Data Factory, and Power BI for analytics and reporting.
Ensure data quality, security, and performance while collaborating with stakeholders on healthcare initiatives.
VetsEZ provides IT solutions to federal government clients, focusing on healthcare systems. The company fosters a collaborative environment and is an equal opportunity employer.
Design and implement a formal analytics data layer using AWS Glue, Athena/Presto, and LookML.
Collaborate across teams to define and maintain metric definitions and data lineage.
Mentor team members and establish best practices for data modeling and testing.
Twilio is shaping the future of communications by delivering innovative solutions to hundreds of thousands of businesses and empowering millions of developers worldwide to craft personalized customer experiences. We are a remote-first company with a strong culture of connection and global inclusion, offering a vibrant team environment.
Build and maintain batch and streaming ETL/ELT pipelines that feed a cloud data warehouse.
Develop, schedule, and monitor cloud data jobs, diagnosing failures and tuning for cost and performance.
Write idempotent load logic that handles reprocessing and backfills without creating duplicate data.
Crum & Forster provides market leading property & casualty, accident & health, specialty and standard commercial lines insurance solutions. With 3,000 employees and an employee-first focus, the company is consistently recognized as a great place to work, earning multiple workplace and wellness awards.
Design, develop, and maintain scalable ETL/ELT pipelines and data integration processes.
Build and optimize cloud-based data architectures to support analytics and business intelligence initiatives.
Ensure data quality, consistency, governance, and reliability through validation, monitoring, and automated quality checks.
CI&T helps large enterprises transform AI potential into business impact with AI deployment, AI-native execution, and tech-integrated solutions. With 30 years of experience and 8,000 employees across 25 countries, they collaborate to build solutions with real impact.
Design and operate production-grade data pipelines for healthcare, identity, and campaign datasets using Python, SQL, Airflow, and Snowflake.
Implement maintainable data models and governed views for provider, claims, and audience data, ensuring privacy-by-design for PHI/PII.
Partner with product, analytics, and data science teams to translate business requirements into resilient technical solutions that power audience discovery and measurement.
Zeta Global is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence and trillions of consumer signals to make marketing simpler. Founded in 2007 with offices worldwide, the company fosters a culture of trust and belonging, offering equity and wellness benefits to its employees.
Own the Airflow codebase end-to-end, building reusable templates and enforcing standards.
Build and extend large-scale Spark pipelines on AWS Glue and support migration to Databricks.
Drive data model improvements around commercial pharma data with focus on structure and lineage.
Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, it surpassed $3B in revenue and values doing the right thing, customer success, employee success, and speed.
Collaborate with team members to gather business requirements and design robust data models for analytics.
Configure and maintain cloud data warehouses and ELT pipelines to ensure reliable, high-quality data.
Support global reporting by monitoring data quality, improving data flow, and coordinating with data engineering and IT teams.
Hyland is a content services company providing the Content Innovation Cloud, delivering enterprise intelligence and automation to organizations worldwide. With nearly 4,000 employees, Hyland fosters an employee-centric, inclusive culture that supports career development, wellbeing, and community engagement.
Design and build batch-oriented data pipelines and ETL workflows using AWS Glue, Lambda, and Step Functions.
Develop and optimize ingestion pipelines and analytical data models with Athena, Redshift, and ClickHouse.
Collaborate with backend engineers to integrate data workflows with microservices and ensure data quality and observability.
SavvyMoney is a US-based financial technology company providing integrated credit score and personal finance solutions to over 1,600 bank and credit union partners. It was recognized as a top workplace and Inc. 5000 fastest growing company, with a distributed team across the US, Canada, Europe, and India.
Lead the development of analytics products and self-serve tools so teams across Wrapbook can access trusted data and use it independently.
Own analytics products end to end, from defining success metrics and designing schemas through testing, production deployment, data quality, freshness SLAs, and incident resolution.
Build and maintain reliable ETL/ELT pipelines and canonical datasets that support analytical workflows across the company.
Wrapbook is an AI platform for production finance, built for feature films, TV, and commercials. Trusted by teams at Netflix, Paramount, and Anonymous Content, the company of 350+ employees is backed by top investors and uses AI to transform how finance teams work.
Reporting & Monitoring: Build and maintain AWS QuickSight dashboards tracking product health, KPIs, and growth.
Ad-hoc Analysis: Scope and deliver ad-hoc reports and analyses for internal stakeholders.
AI-Enabled Reporting: Apply AI across the reporting function, including automated narrative summaries and self-serve query tools.
DrFirst is a thriving Healthcare IT company with established products, prestigious clients, and continuous growth. The culture is entrepreneurial, collaborative, and fast-paced, ideal for those seeking personal and professional growth.
Design, build, and maintain scalable data pipelines and services using Python and modern data engineering frameworks.
Architect and implement data solutions on cloud platforms (AWS, Azure, or GCP) and optimize database performance.
Serve as a technical leader, mentoring junior engineers and collaborating with cross-functional teams to deliver data-driven solutions.
Sagent powers servicers and consumers by transforming the mortgage servicing industry with modern technology. We're a growing joint venture combining Fiserv's fintech expertise with Warburg Pincus, hiring innovators to disrupt the lending space.