Data Engineer

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer in United States.

This role offers the opportunity to design, build, and maintain scalable data systems that drive actionable insights across multiple business functions. The Data Engineer will work closely with data scientists, analysts, and stakeholders to ensure data is collected, stored, and processed efficiently while maintaining quality, integrity, and security. This position involves developing and optimizing ETL/ELT pipelines, designing data warehouse solutions, and implementing automated workflows to streamline analytics and reporting. The role provides exposure to a variety of datasets, advanced BI tools, and cloud-based architectures, supporting innovation and informed decision-making. The ideal candidate thrives in a collaborative environment, enjoys problem-solving, and is motivated to contribute to impactful data-driven initiatives.

Accountabilities

* Design, build, and maintain ETL/ELT pipelines and data workflows for scalable analytics solutions.

* Develop and optimize data warehouse models, ensuring efficient storage, retrieval, and processing.

* Collaborate with cross-functional teams to translate business requirements into technical data solutions.

* Perform data validation, cleansing, and error handling to maintain high-quality datasets.

* Implement data security measures and access controls to protect sensitive information.

* Build dashboards, metrics, and KPIs using BI tools to support business decision-making.

* Monitor data infrastructure for performance, reliability, and compliance with governance standards.

Requirements

* Bachelor’s degree in Computer Science, Data Science, Mathematics, or related field.

* 2+ years of professional experience in data engineering, ETL development, or data warehousing.

* Strong proficiency in SQL (MS SQL Server 2012+), Python (with Pandas, PyODBC, NumPy), and BI tools such as Power BI.

* Experience with data warehousing concepts and techniques, including dimensional modeling (Kimball methodology preferred).

* Familiarity with cloud platforms (Azure) and workflow orchestration tools like Airflow, dbt, or Dagster.

* Strong analytical, problem-solving, and communication skills, able to interact with both technical and business teams.

* Preferred: experience with healthcare data, AGILE methodology, and building AI-enabled analytics solutions.

Benefits

* Competitive base salary range ($100,000 - $125,000) with potential performance bonuses.

* Comprehensive health, dental, and vision insurance.

* Company-paid life and AD&D insurance with supplemental options.

* 401(k) retirement plan with employer match and financial planning support.

* Flexible spending accounts and voluntary insurance programs for healthcare and dependent care.

* Generous paid time off, sick leave, and 10 paid company holidays.

* Remote or hybrid work options and tuition reimbursement opportunities.

* Wellness programs, including gym discounts, wellness challenges, and mental health support through an Employee Assistance Program (EAP).

Why Apply Through Jobgether?

We use 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. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.