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.
Architect and implement Microsoft Fabric solutions for data integration, analytics, and governance. Develop and maintain lakehouses, dataflows, and pipelines within Fabric. Collaborate with business stakeholders to understand requirements and translate them into robust data models.
Apex Companies is one of the fastest growing engineering and environmental consulting firms in the US.
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.
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.
Lead the creation and maintenance of the company's data infrastructure.
Build reporting capabilities for the business team.
Develop test infrastructure to maintain data integrity.
Real is a fast-growing global real estate brokerage powered by technology and driven by people, reimagining the residential real estate experience since 2014.
Oversee the design, development, implementation, and maintenance of all data-related systems.
Build and maintain scalable and reliable data pipelines, ensuring data quality and consistency across all systems.
Collaborate with data scientists, business analysts, and other stakeholders to identify data-related needs and requirements.
MoneyHero Group is a market-leading financial products platform in Greater Southeast Asia, reaching millions of monthly unique users and working with hundreds of commercial partners. They have a team of over 350 talented individuals and are backed by world-class organizations and companies.
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.
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.
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.
Create and maintain optimal data pipeline architecture.
Assemble large, complex data sets that meet functional / non-functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Tivity Health, Inc. provides healthy life-changing solutions, including SilverSneakers®, Prime® Fitness, and WholeHealth Living®. They help adults improve their health and support them on life's journey by providing access to in-person and virtual physical activity, social and mental enrichment programs. Tivity Health is an equal employment opportunity employer and is committed to a proactive program of diversity development.
Provide guidance and mentorship to Junior Business Intelligence Developers
Design and develop ETL processes, primarily using Microsoft SQL
Process, cleanse, and verify the integrity of data used for analysis
Gentiva offers compassionate care in the comfort of patients' homes. They are a national leader in hospice care, palliative care, home health care, and advanced illness management, with nearly 600 locations and thousands of dedicated clinicians across 38 states.
Design, develop, and maintain scalable data pipelines and data warehouses.
Develop ETL/ELT processes using Python and modern data tools.
Ensure data quality, reliability, and performance across systems.
3Pillar Global is dedicated to engineering solutions that challenge conventional norms. They are an elite team of visionaries that actively shapes the tech landscape for their clients and sets global standards along the way.
Design, develop, and maintain reliable end-to-end data pipelines that connect internal and external systems.
Contribute to the performance, scalability, and reliability of our entire data ecosystem.
Work with analysts to engineer data structures and orchestrate workflows that encode core business logic.
Roo is on a mission to empower animal healthcare professionals with opportunities to earn more and achieve greater flexibility in their careers and personal lives. Powered by groundbreaking technology, Roo has built the industry-leading veterinary staffing platform, connecting Veterinarians, Technicians, and Assistants with animal hospitals for relief work and hiring opportunities.
Design, develop, and maintain data pipelines to integrate data from multiple sources.
Build and lead a high-performing data engineering team across multiple geographies.
Partner with Product Managers and Technical Leads to ensure alignment between data initiatives and business outcomes.
HighLevel is an AI-powered, all-in-one white-label sales and marketing platform that empowers agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. With over 1,500 team members across 15+ countries, they operate in a global, remote-first environment, fostering a culture of innovation, collaboration, and impact.
Design, develop, and optimize data pipelines and ETL processes to ensure high-quality data is available for analysis.
Analyze complex datasets to identify trends, patterns, and actionable insights that drive business performance.
Implement data quality checks and governance best practices to ensure data accuracy and reliability.
Modeling Data Solutions is seeking an experienced data analytics engineer to join its personal lines property team. This is an exciting opportunity to join the US Data Science Infrastructure department helping to support creating cutting edge pricing programs.
Design, build, and optimize ETL/ELT workflows using Databricks, SQL, and Python/PySpark.
Develop and maintain robust, scalable, and efficient data pipelines for processing large datasets.
Collaborate with cross-functional teams to deliver impactful data solutions.
Jobgether is an AI-powered platform that helps job seekers find suitable opportunities. They connect top-fitting candidates with hiring companies, streamlining the recruitment process through objective and fair assessments.
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.
Develop AWS Lambda functions, APIs, and web applications to support business operations.
Build and maintain ELT pipelines to integrate and transform data across platforms.
Design and implement AI-powered automation to improve operational efficiency.
M3 USA offers digital solutions across healthcare, life sciences, pharmaceuticals, and more. They utilize the internet for a healthier world and more efficient healthcare systems, with trusted digital platforms that engage physician communities globally. M3 USA prides itself on a dynamic and innovative work environment where every team member contributes to global health advancements.