Senior Data Engineers design and operate the systems that help organizations turn raw information into dependable, useful data. They build scalable data platforms, develop resilient pipelines, and enable analytics, machine learning, and business decision-making. Explore vetted Senior Data Engineer opportunities on Ladders, where featured professional roles pay $100,000 or more.
In a senior data engineering role, you may own data architecture, create batch and streaming pipelines, improve data quality, and make datasets easier for teams to discover and use. You may also guide technical standards, review code, mentor colleagues, and partner with data scientists, analysts, product teams, and business leaders.
Employers commonly look for deep SQL and programming experience, often with Python, Java, or Scala. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud, as well as distributed processing tools, orchestration systems, data warehouses, and lakehouse technologies, can be valuable. Strong data modeling, testing, security, and system design skills help senior engineers build trustworthy platforms at scale.
Compensation varies by location, industry, company size, scope, and experience. Senior-level roles often pay six-figure salaries, particularly when they involve platform ownership, cloud architecture, or leadership responsibilities. Ladders focuses on vetted professional jobs paying $100,000 or more, making it easier to explore opportunities aligned with your experience and compensation goals.
Compare roles by technology stack, business domain, team structure, and level of ownership. Tailor your resume to show measurable outcomes—such as faster pipeline performance, improved data reliability, lower infrastructure costs, or broader access to trusted data. Browse Senior Data Engineer jobs on Ladders to find a position where you can make a meaningful impact.
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Senior AI Software Engineer (LangGraph) - Remote - USA
$125K - $150K *
Unlock your potential as a Senior AI Software Engineer, collaborating with clients to design and build innovative AI-driven applications while leading technical initiatives and enhancing enterprise in...
1 week ago
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$135K - $160K *
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1 week ago
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1 week ago
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Transform complex AI workflows by leveraging your expertise in software development and enterprise APIs. Collaborate with clients to design and build innovative solutions, ensuring seamless integratio...
1 week ago
Senior AI Software Engineer (LangGraph) - Remote - USA
$135K - $160K *
Join a dynamic team as you tackle complex AI-driven applications, integrating with clients or building innovative solutions. Leverage your expertise in software development and enterprise APIs to deli...
1 week ago
What does a Senior Data Engineer do?
A Senior Data Engineer designs, builds, and maintains data platforms and pipelines. The role often includes setting technical standards, improving data quality and reliability, mentoring engineers, and collaborating with analytics, machine learning, and business teams.
What skills are needed for Senior Data Engineer jobs?
Common requirements include advanced SQL, programming in languages such as Python, Java, or Scala, data modeling, distributed data processing, cloud infrastructure, and pipeline orchestration. Employers may also value experience with data warehouses, streaming systems, security, and technical leadership.
How much do Senior Data Engineers earn?
Pay depends on location, industry, employer, experience, and role scope. Many senior positions offer six-figure compensation. Ladders features vetted professional jobs paying $100,000 or more.
What qualifications are typically required for a Senior Data Engineer role?
Employers often seek several years of hands-on data engineering experience and a track record of delivering production data systems. A degree in computer science or a related field may be preferred, though equivalent practical experience is often considered.
How can I find a Senior Data Engineer job on Ladders?
Browse Senior Data Engineer listings on Ladders and compare opportunities by employer, location, technology stack, and responsibilities. Highlight relevant systems work and measurable results in your resume when applying.