Sr Data Engineer (Remote - US) - job 2 of 2

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

As a Sr Data Engineer, you will play a key role in designing, building, and maintaining modern, scalable data solutions in a cloud-based environment. You will work closely with a collaborative team to develop ELT pipelines, data marts, and other data products that support analytics, reporting, and business intelligence needs. This role involves both creating new solutions and optimizing legacy pipelines across on-premises and cloud systems. You will contribute to the technical strategy, ensure data quality and performance, and mentor team members to foster a culture of excellence. The environment emphasizes innovation, reliability, and cross-functional collaboration, providing the opportunity to make a meaningful impact on data-driven decision-making.

Accountabilities:

·        Design, build, and maintain scalable ELT pipelines and data marts to support internal analytics and external reporting.

·        Collaborate with team members to break down requirements into user stories, estimate complexity, and deliver high-quality solutions.

·        Provide technical expertise in architecture, design, implementation, and testing, ensuring performance, security, and maintainability.

·        Maintain and enhance legacy data pipelines spanning on-premises and cloud environments.

·        Ensure production readiness of features through test-driven development and thorough quality assurance.

·        Provide operational support, including on-call availability, for owned components.

·        Mentor team members, share knowledge, and drive continuous improvement and innovation across systems.

·        Bachelor’s Degree in Computer Science, MIS, Computer Engineering, or equivalent experience.

·        4+ years of advanced SQL programming experience.

·        2+ years working with AWS services such as Step Functions, Glue, Lambda, Redshift/RDS, and CloudFormation.

·        Proficiency in Python development and source code management tools (e.g., Git).

·        Experience with unit testing and deploying code via CI/CD pipelines (Jenkins or GitHub Actions).

·        Familiarity with data warehousing and handling large-scale databases (>1TB).

·        Excellent written and verbal communication skills and strong collaboration abilities.

Preferred Qualifications:

·        Experience with modern data architectures and cloud-native data solutions.

·        Proven ability to optimize and troubleshoot complex data pipelines.

Strong analytical mindset with attention to detail and problem-solving skills

·        Competitive salary range: USD $120,120 – $171,600 per year.

·        Remote work flexibility within the United States.

·        Paid time off and company holidays.

·        Medical, dental, and vision coverage.

·        Retirement savings plan (401k) with company match.

·        Professional development and learning opportunities.

·        Collaborative, innovative, and supportive team environment.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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