Source Job

• Build and operate data pipelines from D365, Power Platform, and other sources into the enterprise data platform.
• Design and implement star schemas, data lake house structures, and semantic models for Power BI.
• Optimize performance and cost management for reporting in Azure.

Jobgether uses an AI-powered matching process to ensure applications are reviewed quickly and fairly. They identify top-fitting candidates and share the shortlist with the hiring company.

• Analyze business requirements for projects of small to medium scope and complexity.
• Write, test, and debug routine to moderately complex SQL queries, DML scripts, and DDL scripts
• Research and resolve routine to moderately complex data issues using SQL and other reporting tools.

RRD provides marketing, packaging, print, and supply chain solutions. They have 22,000 clients, including 93% of the Fortune 100, and 32,000 employees across 28 countries, bringing expertise, execution, and scale.

• Design, build and execute data pipelines.
• Build the configurable ETL framework.
• Optimize SQL queries to maximize system performance.

RefinedScience is dedicated to delivering high-quality emerging tech solutions. While the job description does not contain company size or culture information, the role seems to value innovation and collaboration.

• Develop and maintain scalable data pipelines and ETL processes.
• Design, build, and optimize data models and databases.
• Perform data analysis, data mining, and statistical modeling.

We’re supporting a global fintech and digital currency platform in their search for a Senior Data Engineer to help scale and optimize their analytics and data infrastructure.

• Partner with clients and implementation teams to understand data distribution requirements.
• Design and develop data pipelines integrating with Databricks and Snowflake, ensuring accuracy and integrity.
• Lead architecture and implementation of solutions for health plan clients, optimizing cloud-based technologies.

Abacus Insights is changing the way healthcare works by unlocking the power of data to enable the right care at the right time. Backed by $100M from top VCs, they're tackling big challenges in an industry that’s ready for change with a bold, curious, and collaborative team.

• Design, build, and maintain scalable data pipelines and warehouses for analytics and reporting.
• Develop and optimize data models in Snowflake or similar platforms.
• Implement ETL/ELT processes using Python and modern data tools.

Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. They identify the top-fitting candidates, and this shortlist is then shared directly with the hiring company; the final decision and next steps (interviews, assessments) are managed by their internal team.

Design, implement, and maintain scalable ETL/ELT pipelines using Python, SQL, and modern orchestration frameworks. Build and optimize data models and schemas for cloud warehouses and relational databases, supporting AI and analytics workflows. Lead large-scale data initiatives from planning through execution, ensuring performance, cost efficiency, and reliability.

This position is posted by Jobgether on behalf of a partner company.

• Design, build, and maintain highly scalable, reliable, and efficient ETL/ELT pipelines.
• Ingest data from a multitude of sources and transform raw data into clean, structured, and AI/ML-ready formats.
• Work closely with data scientists, machine learning engineers, and business analysts to understand their data needs.

Valtech exists to unlock a better way to experience the world by blending crafts, categories, and cultures, helping brands unlock new value in an increasingly digital world.

• Design, build, and maintain scalable, high-quality data pipelines.
• Implement robust data ingestion, transformation, and storage using cloud-based technologies.
• Collaborate with stakeholders to understand business goals and translate them into data engineering solutions.

CI&T is a tech transformation specialist, uniting human expertise with AI to create scalable tech solutions. With over 8,000 employees around the world, they have partnerships with more than 1,000 clients and value diversity, fostering a diverse, inclusive, and safe work environment.

• Support their managed analytics service client through their data-driven journey and deliver measurable business value through data modeling, API integration, SQL scripting, and data pipeline development.
• Bridge the important gap between data applications and insightful business reports.
• Participate in building our data platform from the ground up by exploring new technologies & vendors within our cloud-first environment

DataDrive is a fast-growing managed analytics service provider that provides modern cloud analytics data platforms to data-driven organizations, while also supporting ongoing training, adoption, and growth of our clients’ data cultures. DataDrive offers a unique team-oriented environment where one can develop their skills and work directly with some of the most talented analytics professionals in the business.

• Create and maintain data sources, reports and dashboards with high visual appeal, high data accuracy and high performance.
• Analyze and address data and performance issues, fix the Sisense dashboards and embedded code.
• Coordinate with team members in key departments to identify information needs and drivers for translation into data visualizations.

CentralReach is a leading provider of autism and IDD care software for Applied Behavior Analysis (ABA), multidisciplinary therapy, and special education. Recognized as one of the best places to work, their culture is centered around impact, inclusion, and flexibility.

As a key member of our Data Engineering team, you will: Collaborate with Data Science, Reporting, Analytics, and other engineering teams to build data pipelines, infrastructure, and tooling to support business initiatives. Oversee the design and maintenance of data pipelines and contribute to the continual enhancement of the data engineering architecture. Collaborate with the team to meet performance, scalability, and reliability goals.

PENN Entertainment, Inc. is North America’s leading provider of integrated entertainment, sports content, and casino gaming experiences.

• Partner with our customer teams to develop engineering plans to implement our health system partners
• Build and support robust batch and streaming pipelines
• Evolve the maturity of our monitoring systems and processes to improve visibility and failure detection in our infrastructure

Paradigm is rebuilding the clinical research ecosystem by enabling equitable access to trials for all patients. Incubated by ARCH Venture Partners and backed by leading healthcare and life sciences investors, Paradigm’s seamless infrastructure implemented at healthcare provider organizations, will bring potentially life-saving therapies to patients faster.

• Partner with data scientists and stakeholders to translate business and ML/AI use cases into scalable data architectures.
• Design, develop, and maintain scalable and efficient data pipelines and ETL processes to ingest, process, and transform large data.
• Build and optimize data storage and processing systems using AWS services to enable efficient data retrieval and analysis.

ATPCO is the world's primary source for air fare content, holding over 200 million fares across 160 countries. They provide technology and data solutions to the travel industry, helping millions of travelers reach their destinations efficiently. ATPCO believes in flexibility, trust, and a culture where your wellbeing comes first.

• Own end-to-end internal ELT data pipelines.
• Build and maintain canonical data models and metric definitions.
• Build dashboards and shared analytics tools to support decision making.

Northbeam is building the world’s most advanced marketing intelligence platform. They provide top eCommerce brands a unified view of their business data through powerful attribution modeling and customizable dashboards and is experiencing rapid growth.

• Write and deploy crawling scripts to collect source data from the web
• Write and run data transformers in Scala Spark to standardize bulk data sets
• Write and run modules in Python to parse entity references and relationships from source data

Sayari is a risk intelligence provider equipping sectors with visibility into commercial relationships, delivering corporate and trade data from over 250 jurisdictions. Headquartered in Washington, D.C., its solutions are trusted globally and recognized for growth and workplace culture.

• Build, manage, and operationalize data pipelines for marketing use cases.
• Develop a comprehensive understanding of customer and marketing data requirements.
• Transform large data sets into targeted customer audiences for personalized experiences.

Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.

Build robust data pipelines at scale. Design and implement data schemas. Collaborate with Analytics/Data Science team to structure and house data.

Goods & Services is a product design and engineering company that solves mission-critical challenges for some of the world’s largest enterprises.

• Drive data engineering work across project phases, including discovery, design, build, test, deploy, and ongoing improvement.
• Design and build scalable data pipelines using Microsoft Fabric (lakehouses, warehouses, pipelines, dataflows, notebooks).
• Cleanse, model, and transform raw data to support analytics, reporting, semantic modeling, and governance needs.

Stoneridge Software helps clients succeed in implementing business software solutions. As a 2025 Top Workplace Honoree and Microsoft Solutions Partner, they have a meticulous approach to project delivery and empower client's success with long-term support.

• Design, code, test, and debug data-driven applications in accordance with established coding standards and best practices.
• Develop supporting data tooling, including data pipelines, APIs and related tools to support those applications, ensuring performant, scalable and secure solutions.
• Integrate with various data sources and technologies to ensure the right data is available for the solutions in a timely manner.

EasyPost, founded in 2012, is a YC unicorn with the mission to simplify shipping for businesses, from startups to Fortune 500 companies. They provide a developer-friendly REST API for shipping. The team is rapidly growing and fosters a culture of builders and problem-solvers who value elegant architecture and fast decisions.