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What is the role of a Senior Data Engineer at Jobgether?

The Senior Data Engineer position at Jobgether is a Full-time or part-time position opportunity in the Information Technology field.

Where is this Senior Data Engineer job located?

United States, Other / Non-US, United States

What type of employment is offered for this Senior Data Engineer role?

Full-time or part-time position

What is the expected salary for this Senior Data Engineer job?

Compensation will be discussed during the hiring process.

Senior Data Engineer job near me in United States, Other / Non-US at Jobgether

Senior Data Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer based in the United States.

This role plays a key part in shaping and scaling modern enterprise data platforms that power analytics, reporting, and data-driven decision-making across the organization. You will design and build robust batch and streaming data pipelines that transform complex, multi-source datasets into reliable, analytics-ready assets. Working within a cloud-first environment, you will contribute to the evolution of data architecture supporting lakehouse, warehouse, and data lake strategies. The position involves close collaboration with architecture, analytics, governance, and application teams to translate business needs into scalable engineering solutions. You will also ensure data systems are performant, secure, and compliant with regulatory requirements. This is a highly technical, hands-on role suited for someone who enjoys solving complex data challenges while enabling self-service analytics and advanced insights at scale.

Accountabilities:

In this role, you will design, build, and maintain enterprise-grade data pipelines and platforms that enable reliable analytics and business intelligence.

Develop and maintain scalable batch and streaming data pipelines supporting analytics, reporting, and downstream applications
Build and optimize data ingestion, transformation, and orchestration workflows across structured and semi-structured data sources
Design and maintain curated, analytics-ready data models including dimensional, canonical, and domain-oriented datasets
Implement cloud-based data solutions aligned with enterprise architecture standards and security requirements
Ensure data reliability through performance tuning, observability, validation rules, and data quality controls
Support cloud data platform evolution including architecture improvements, tooling decisions, and modernization initiatives
Collaborate with analytics, data science, and reporting teams to enable self-service data consumption
Translate business requirements into scalable and reusable data structures and pipelines
Ensure compliance with governance, privacy, metadata, and data lineage standards
Promote engineering best practices including CI/CD, version control, testing, and documentation

Requirements:

This role requires strong data engineering expertise, cloud platform experience, and the ability to design scalable, high-performance data systems.

Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field (Master’s preferred)
5+ years of experience in data engineering, analytics engineering, or data platform development
Strong proficiency in SQL and at least one programming language such as Python, Java, or Scala
Hands-on experience building data pipelines, data models, and distributed data processing systems
Strong expertise with AWS services such as Lambda, Glue, Step Functions, S3, EMR, SNS/SQS, Lake Formation, and CloudWatch
Solid understanding of data architecture patterns including data lakes, lakehouses, and analytical warehouses
Experience with cloud platforms (AWS, Azure, or GCP) and modern DevOps practices is a plus
Familiarity with infrastructure-as-code tools (e.g., Terraform, CloudFormation) and CI/CD pipelines
Strong analytical and problem-solving skills with the ability to handle complex data challenges
Excellent communication skills to translate technical concepts for both technical and non-technical stakeholders

Benefits:

Competitive base salary ranging from $130,000 to $150,000 annually
Comprehensive health, dental, and vision insurance
Retirement savings plans with employer contributions
Flexible and hybrid work arrangements depending on role and location
Professional development and continuous learning opportunities
Exposure to modern cloud data technologies and enterprise-scale systems
Collaborative, cross-functional environment supporting innovation and data-driven culture
Paid time off and holidays
Commitment to diversity, equity, and inclusive workplace practices

How Jobgether works:

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.

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Senior Data Engineer in United States at Jobgether

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