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Sr Data Engineer Client Jobs (NOW HIRING)

Tek Inspirations LLC

Legacy Data Engineer

Austin, TX · On-site

$120K - $140K/yr

Job Title : Sr. Data Engineer (Legacy Data Engineer) Client: McLane Location: Austin, TX (Hybrid 3 days onsite) Type: Full-Time Direct Hire Salary: $120K $140K Base Interview: 2 Virtual + Final ...

FOCUSPOINT

Senior Data Engineer

Brentwood, TN · On-site

$55 - $65/hr

S. locations (client sites vary) Employment Type: Full time Compensation: Commensurate with experience FocusPoint is actively building a pipeline of Senior Data Engineers for ongoing contract ...

Conch Technologies Inc

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Data Engineer Client: Filthy Food, Location: Miami, Florida, Onsite Role Our client has an ... Yalla Sr. US IT Recruiter Desk: 380-388-3661, EXT:819 Email: pavan.y@conchtech.com Web: www ...

Fusion HCR

Sr Data Engineer

Las Vegas, NV

$97K - $131K/yr

Fusion client - large, national property management organization Position Summary A Fusion client in the property management space is seeking a Senior Data Engineer to play a key role in building ...

Medinext Global LLC

Senior Data Engineer

Houston, TX · On-site

$101K - $137K/yr

Houston, TX (Onsite/Hybrid - Based on Client Requirements) Employment Type: Full-Time We are hiring a Senior Data Engineer with deep expertise in Snowflake, AWS, Data Governance, and Ontology-Driven ...

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Sr Data Engineer Client information

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How much do sr data engineer client jobs pay per year?

As of Jul 30, 2026, the average yearly pay for sr data engineer client in the United States is $126,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $144,000.00 per year, depending on experience, location, and employer.

What are some typical challenges a Sr Data Engineer Client might face when integrating client data systems with internal platforms?

Sr Data Engineers working with client data often encounter challenges such as aligning disparate data formats, managing inconsistent data quality, and ensuring data security during integration. Effective communication with both client and internal teams is crucial to clearly understand requirements and address technical limitations. These challenges can be mitigated by establishing robust data pipelines, thorough documentation, and proactive collaboration with stakeholders throughout the integration process.

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

To thrive as a Sr Data Engineer Client, you need extensive experience in data engineering, strong proficiency in SQL, Python, and data modeling, often supported by a bachelor's or master's degree in computer science or a related field. Mastery of big data tools (like Hadoop or Spark), cloud platforms (such as AWS or Azure), and relevant certifications is highly valued. Exceptional problem-solving, communication, and stakeholder management skills help you bridge technical and business needs. These capabilities are crucial for delivering scalable data solutions that drive informed decision-making and client satisfaction.

What are Sr Data Engineer Client roles?

Sr Data Engineer Client roles refer to senior-level data engineering positions that focus on building, managing, and optimizing data infrastructure and pipelines to serve client-facing applications or external customers. These professionals are responsible for designing scalable data solutions, integrating diverse data sources, and ensuring data quality and security. They often collaborate with data scientists, analysts, and client teams to deliver actionable insights and support business objectives. Strong technical skills in data modeling, ETL processes, and cloud platforms are essential, along with experience in stakeholder communication.
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What cities are hiring for Sr Data Engineer Client jobs? Cities with the most Sr Data Engineer Client job openings:
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Sr Data Engineer Client jobs near you
Infographic showing various Sr Data Engineer Client job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 13% Part Time, and 7% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $126,328 per year, or $60.7 per hour.

Legacy Data Engineer

Tek Inspirations LLC

Austin, TX • On-site

$120K - $140K/yr

Other

Posted 6 days ago

Job description

Job Title : Sr. Data Engineer (Legacy Data Engineer)
Client: McLane
Location: Austin, TX (Hybrid 3 days onsite)
Type: Full-Time Direct Hire
Salary: $120K $140K Base
Interview: 2 Virtual + Final Onsite (Austin, TX)

Required Skills:

  • 5+ years of Data Engineering experience
  • Advanced SQL development (DB2, Oracle, SQL Server)
  • Strong Data Warehouse concepts (ETL, ELT, Dimensional Modeling, Data Marts, OLAP)
  • ETL pipeline development and optimization
  • Linux Shell Scripting (Bash, Korn Shell/KSH)
  • Mainframe experience (JCL, Datasets, Utilities)
  • IBM Cognos Analytics (or similar BI reporting tool)
  • SQL query optimization, Stored Procedures, Performance Tuning
  • Batch Processing and Scheduling
  • Data Modeling
  • Data Integration
  • Troubleshooting Data Quality and Performance Issues
  • Strong analytical and problem-solving skills
  • Bachelor's degree in Computer Science or related field (or equivalent experience)

Apply