Data Engineer at Jobgether

Team: IT

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

This role offers the chance to design, build, and maintain advanced data platforms that power analytics, machine learning, and mission-critical operations. The Data Engineer will collaborate closely with cross-functional teams to implement scalable, reliable, and high-performance data solutions. You will work on modern cloud architectures, develop robust ELT pipelines, and ensure data quality, integrity, and governance across the organization. Your work will directly impact business operations and the delivery of essential services, with opportunities to optimize processes, innovate with AI, and advance your technical expertise in a dynamic, remote-friendly environment.

Accountabilities:

Design, develop, and maintain scalable data platforms supporting analytics, machine learning, and operational systems.

Build and optimize ELT workflows, data models, and distributed processing jobs using cloud-native tools and modern technologies.

Implement best practices for data quality, integrity, lineage, governance, performance, and reliability across pipelines and platforms.

Establish monitoring, alerting, and SLAs for mission-critical data services with observability standards.

Identify and resolve performance bottlenecks to ensure efficient, cost-effective data processing.

Collaborate with engineering, product, operations, and customer success teams to deliver reliable and actionable data insights.

Execute other tasks as assigned to support organizational goals and project success.

Requirements:

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.

2+ years of software and data engineering experience, with expertise in distributed data processing and data-intensive applications.

1+ years of experience implementing and maintaining reporting and analytics tools such as Tableau, Power BI, or DOMO.

Proficiency in Python, SQL, query and database optimization, data pipelines, and data modeling.

Experience with cloud platforms (AWS, Azure, GCP) and modern data warehousing technologies (Snowflake, BigQuery, Redshift).

Knowledge of privacy, security, and regulatory best practices in data management.

Excellent communication, collaboration, and problem-solving skills.

Desired: experience in healthcare technology (EHR, HL7/FHIR) or regulated industries and product development.

Willingness to responsibly explore AI tools to enhance productivity and innovation.

Benefits:

Competitive base salary ($105,000–115,000/yr) with potential variable compensation.

Health, dental, and vision plans, along with company-paid holidays and PTO.

401K retirement program with company match and other sponsored programs.

Remote-first work environment within EST or CST time zones.

Opportunities for professional growth and cross-functional collaboration.

Exposure to cutting-edge cloud, analytics, and AI technologies in a fast-paced environment.

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