What is the salary for this Data Engineer - REMOTE role?

Salary information is not publicly listed for this position. Apply directly to discuss compensation with Jobgether.

Where is this Data Engineer - REMOTE position located?

This is an on-site position at Jobgether located in US, North America.

How do I apply for this Data Engineer - REMOTE job at Jobgether?

Click the 'Apply' button on this page to be redirected to Jobgether's application portal. Make sure to have your resume ready and tailor your application to highlight relevant experience.

Jobgether is actively hiring for Data roles. Visit the company page to see all open positions and learn more about working at Jobgether.

Data Engineer - REMOTE

Jobgether US Today

data

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer. In this role, you will play a crucial part in building, optimizing, and maintaining data pipelines, cloud-based solutions, and analytics platforms. The impact of your work will resonate across various teams as you deliver high-quality, scalable data solutions. You will be tasked with ensuring data quality and security, while also supporting data migration and modernization initiatives. This position requires close collaboration with cross-functional teams, allowing you to integrate your expertise in data engineering effectively.

Accountabilities

Design, develop, and maintain robust data pipelines and ETL processes for ingesting, transforming, and loading data from diverse sources.

Build and optimize data architectures and models to support analytics, reporting, and operational needs.

Implement and manage CI/CD pipelines for data engineering workflows using tools such as Jenkins, Maven, and Git.

Develop and deploy cloud-based solutions leveraging AWS (S3, Lambda, ECS, SQS), Azure (CosmosDB, Functions), and containerization (Docker, Kubernetes).

Collaborate with DBAs and application developers to design and integrate data models, stored procedures, and APIs.

Ensure data quality, integrity, and security through rigorous validation, monitoring, and logging.

Support data migration, integration, and modernization initiatives, including legacy system upgrades and cloud adoption.

Troubleshoot and resolve issues in production environments, ensuring high availability and reliability.

Document data flows, processes, and technical solutions for knowledge sharing and compliance.

Stay current with emerging technologies and best practices in data engineering, cloud, and DevOps.

Requirements

US Citizenship is required.

Bachelor’s degree is required.

Minimum FIVE (5) years of experience in data engineering, software development, or related roles.

Proficient experience with programming languages (Java, Python, SQL, Pyspark).

Experience in data pipeline and ETL development.

Familiarity with database technologies (Oracle, MySQL, Postgres, SQL Server, MongoDB).

Experience in data modeling, stored procedures, and API development (RESTful, SOAP).

Demonstrated experience with cloud platforms: AWS (S3, Lambda, ECS, SQS) and Azure (CosmosDB, Functions).

Experience with containerization and orchestration (Docker, Kubernetes).

Knowledge of CI/CD tools (Jenkins, Maven, Git, Bitbucket, GitHub).

Proficient in monitoring and logging tools (Splunk, CloudWatch, Kibana, Elasticsearch).

Strong analytical, troubleshooting, and communication skills.

Benefits

Medical, Rx, Dental & Vision Insurance.

Personal and Family Sick Time & Company Paid Holidays.

Potential eligibility for a discretionary variable incentive bonus.

Parental Leave and Adoption Assistance.

401(k) Retirement Plan.

Basic Life & Supplemental Life.

Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts.

Short-Term & Long-Term Disability.

Student Loan PayDown.

Tuition Reimbursement, Personal Development & Learning Opportunities.

Skills Development & Certifications.

Employee Referral Program.

Corporate Sponsored Events & Community Outreach.

Emergency Back-Up Childcare Program.

Mobility Stipend.

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!

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.