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Senior Data Engineering Jobs (NOW HIRING)

Hirekeyz Inc

Senior Data Engineer

Sunnyvale, CA · On-site

$124K - $169K/yr

Senior Data Engineer Location: Sunnyvale, CA Job Type: Contract/W2 Key Skills: Tableau, Python ... Qualifications: * 6+ years of experience in data engineering, with a strong focus on Python and ...

New Day Executive Search

Senior Data Engineer

Plano, TX

$101K - $138K/yr

Senior Data Engineer - Hybrid Role A fast-growing and highly successful consumer financial services ... They are seeking a driven individual with a passion for data engineering, analytics, and problem ...

Donato Technologies, Inc

Senior Data Engineer

Sunnyvale, CA · On-site

$124K - $169K/yr

Senior Data Engineer Location: Sunnyvale, CA (Local candidates preferred) or with in the time zone ... Qualifications: * 6+ years of experience in data engineering, with a strong focus on Python and ...

Prophecy Technologies

Sr. Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Role Name: Sr. Data Engineer Location: Atlanta, GA Experience: 6-8+ Years Roles & Responsibilities ... Google Data Engineering Required Technical Skills: * ETL pipeline design and development * Data ...

E-Solutions

Senior Data Engineer - ML

Austin, TX

$105K - $142K/yr

Senior Data Engineer We are seeking an experienced Senior Data Engineer with at least 8 years of ... Qualifications: * 6+ years of experience in data engineering, with a strong focus on Python and ...

Watts Water

Senior Data Engineer

Dallas, TX · On-site +1

$105K - $143K/yr

Senior Data Engineer We're Watts. Together, we're reimagining the future of water. We feel proud ... Define and enforce data engineering best practices including coding standards, version control, CI ...

DEEPREC.AI

Senior Data Engineer

$150K - $200K/yr

Senior Data Engineer - HealthTech AI $150,000-$200,000 Equity | Fully Remote (U.S.) | Full-Time ... You'll join a 35 person Data Engineering team building AI-powered clinical products used by major U.

IQUASAR LLC

Senior Data Engineer

Washington, DC · Hybrid

$119K - $162K/yr

We are seeking a Senior Data Engineer for a contract position. Position: Senior Data Engineer ... Bachelors or Masters degree in Computer Science, Data Engineering, or related field. * 7+ years of ...

iQuasar LLC

Senior Data Engineer

Washington, DC · On-site

$119K - $162K/yr

Makpar has an exciting opportunity for a Senior Data Engineer to join our growing team.his role ... Bachelor's or Master's degree in Computer Science, Data Engineering, or related field. * 7+ years ...

ShiftCode Analytics

Senior Data Engineer

Denver, CO

$109K - $148K/yr

Senior Data Engineer Our client is hiring a Senior Data Engineer to join their Mobile Insights team ... Stay updated on industry best practices and emerging technologies in data engineering * Contribute ...

Cynet Systems

Senior Data Engineer

Dallas, TX

$105K - $143K/yr

Senior Data Engineer We are seeking a Senior Data Engineer to design, build, and optimize scalable ... Strong experience in data engineering using Python, SQL, and PySpark. * Experience building and ...

RIT Solutions, Inc.

Senior Data Engineer

Chicago, IL · On-site +1

$109K - $148K/yr

Senior Data Engineer Chicago, IL - Onsite- Need Local Senior Data Engineer We are seeking a Senior ... and leveraging data engineering expertise to drive business insights and analytics. Key ...

Ampcus

Sr. Data Engineer

Chicago, IL · Hybrid

$118K - $141K/yr

We are seeking a highly skilled Sr. Data Engineer to join our team in Chicago ... The ideal candidate will have extensive experience in data engineering, cloud services, and big ...

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How much do senior data engineering jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for senior data engineering in the United States is $56.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $67.31 per hour, depending on experience, location, and employer.

What is a Senior Data Engineer?

A Senior Data Engineer is an experienced professional who designs, builds, and maintains scalable data systems and infrastructure within an organization. They are responsible for developing robust data pipelines, ensuring data quality, and optimizing data workflows to support analytics and business intelligence needs. Senior Data Engineers often mentor junior team members, collaborate with data scientists and analysts, and help establish best practices for data management. Their expertise enables organizations to efficiently store, process, and analyze large volumes of data for strategic decision-making.

What is the difference between Senior Data Engineering vs Data Engineer?

AspectSenior Data EngineerData Engineer
Required CredentialsBachelor's or Master's in CS, experience in data pipelines, cloud platformsBachelor's in CS or related field, foundational data skills
Work EnvironmentDesigning complex data systems, mentoring juniors, optimizing pipelinesBuilding and maintaining data pipelines, data ingestion, basic ETL tasks
Employer & Industry UsageTech companies, finance, healthcare, large enterprisesStartups, mid-sized companies, tech firms

Senior Data Engineers typically have more experience, handle complex data architecture, and mentor teams, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but Senior Data Engineers often take on leadership and strategic responsibilities.

What are the key skills and qualifications needed to thrive as a Senior Data Engineer, and why are they important?

To thrive as a Senior Data Engineer, you need deep expertise in data modeling, ETL processes, programming (often Python, Java, or Scala), and a strong background in computer science or a related field. Proficiency with big data tools like Hadoop, Spark, SQL/NoSQL databases, and cloud platforms such as AWS, Azure, or GCP is typically required, along with relevant certifications. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior engineers. These skills ensure reliable, scalable data infrastructure that supports business intelligence and decision-making across the organization.

How does a Senior Data Engineer typically collaborate with data scientists and analysts on projects?

As a Senior Data Engineer, you will frequently work alongside data scientists and analysts to design, build, and optimize data pipelines and infrastructure that support complex analytics and machine learning initiatives. Collaboration often involves translating business or analytical requirements into scalable data solutions, ensuring data quality, and enabling efficient access to large datasets. Regular communication and agile teamwork are essential, as you'll often participate in cross-functional meetings to align on project goals, resolve data issues, and support the deployment of analytical models into production environments.
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Senior Data Engineering jobs near you

Senior Data Engineer

Hirekeyz Inc

Sunnyvale, CA • On-site

$124K - $169K/yr

Contractor

Posted 11 days ago

Job description

Job Description: Senior Data Engineer

Location: Sunnyvale, CA
 
Job Type: Contract/W2
 
 
Job Description:
 

Key Skills: Tableau, Python, Snowflake.

Overview:
We are seeking an experienced Senior Data Engineer with at least 8 years of industry experience and strong expertise in Python and Snowflake. The ideal candidate will excel at collaborating with business users, cross-functional teams, and offshore teams to deliver high-quality data solutions. A solid understanding and experience with Machine learning is a valuable addition.

Key Responsibilities:

  • Design, develop, and manage robust, scalable data pipelines and workflows using Python and Snowflake.
  • Collaborate with business stakeholders to gather and translate requirements into actionable solutions.
  • Partner with cross-functional platform teams and offshore resources to ensure seamless project execution.
  • Build and optimize data models and architecture to support analytics and reporting needs.
  • Monitor and improve data integration processes, ensuring accuracy, reliability, and performance.
  • Explore opportunities to incorporate machine learning solutions into data engineering workflows.

Qualifications:

  • 6+ years of experience in data engineering, with a strong focus on Python and Snowflake.
  • Proven ability to work closely with business stakeholders to gather requirements and deliver impactful solutions.
  • Extensive experience working with offshore and cross-functional teams.
  • Excellent communication, problem-solving, and teamwork skills.
  • Experience with machine learning concepts and applications.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) for data engineering and machine learning.
  • Knowledge of CI/CD pipelines for data and ML workflows.