Senior Data Engineer

The Addison Group; Austin (TX); Hybrid; USD 103,000 - 110,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401(k)

Job summary

The Addison Group seeks a Senior Data Engineer to design, build, and support modern cloud-based data platforms and analytics solutions in Austin, TX. This hybrid role combines hands-on engineering with solution design and production support.

You will lead data pipelines, integrate batch and streaming workloads, and partner with architecture, engineering, and business stakeholders to deliver scalable, well-governed data capabilities.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related discipline.
• 8+ years of experience in data engineering, analytics engineering, or data platform development.
• Experience designing and implementing cloud-based data solutions.
• Experience building large-scale data integration and transformation processes.
• Experience leading technical initiatives and delivering production-ready solutions.
• Experience supporting enterprise production environments and operational processes.
• Experience working within regulated or compliance-driven environments is a plus.

Responsibilities

• Design, develop, and maintain scalable data pipelines, transformation processes, and reusable data assets.
• Build and support data integration solutions across batch, near real-time, and streaming workloads.
• Develop reusable frameworks, automation, and platform components that improve engineering efficiency and solution quality.
• Lead technical design efforts for complex projects and provide guidance through implementation and deployment.
• Partner with architecture, engineering, and business stakeholders to deliver scalable, secure, and well-governed solutions.
• Establish and promote engineering standards, best practices, and code quality measures.
• Implement data quality, monitoring, metadata, lineage, and security capabilities.
• Build and maintain CI/CD pipelines, automated testing frameworks, and deployment processes.
• Support platform observability, performance tuning, reliability improvements, and cost optimization initiatives.
• Participate in production support activities, incident response, troubleshooting, and root cause analysis.
• Maintain technical documentation, operational procedures, and knowledge-sharing materials.
• Contribute to roadmap planning, solution estimation, technology evaluations, and modernization initiatives.
• Mentor team members and provide technical leadership across projects.

Skills

SQL

Python

PySpark

Spark optimization

Cloud data platforms

Data governance

CI/CD practices

Stakeholder collaboration

Education

Bachelor's degree

Tools

Azure Databricks

Delta Lake

Unity Catalog

Databricks Workflows

Delta Live Tables

Job description

Position: Senior Data Engineer

Location: Austin, TX - Hybrid

Compensation: $75-$80.00 / Per Hour

Employment Type: 12 month contract with contract-to-hire option

Schedule: 2x per week remote, onsite 3x per week

Benefits: This position is eligible for medical, dental, vision, and 401(k).

We are seeking a Senior Data Engineer to help design, build, and support modern cloud-based data platforms and analytics solutions. This individual will play a key role in developing scalable, secure, and reliable data capabilities while contributing to both new platform initiatives and ongoing operational excellence.

This position combines hands‑on engineering, solution design, technical leadership, and production support responsibilities. The ideal candidate brings a strong background in cloud data engineering, modern data architectures, automation, and platform optimization.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines, transformation processes, and reusable data assets.
• Build and support data integration solutions across batch, near real-time, and streaming workloads.
• Develop reusable frameworks, automation, and platform components that improve engineering efficiency and solution quality.
• Lead technical design efforts for complex projects and provide guidance through implementation and deployment.
• Partner with architecture, engineering, and business stakeholders to deliver scalable, secure, and well‑governed solutions.
• Establish and promote engineering standards, best practices, and code quality measures.
• Implement data quality, monitoring, metadata, lineage, and security capabilities.
• Build and maintain CI/CD pipelines, automated testing frameworks, and deployment processes.
• Support platform observability, performance tuning, reliability improvements, and cost optimization initiatives.
• Participate in production support activities, incident response, troubleshooting, and root cause analysis.
• Maintain technical documentation, operational procedures, and knowledge‑sharing materials.
• Contribute to roadmap planning, solution estimation, technology evaluations, and modernization initiatives.
• Mentor team members and provide technical leadership across projects.

Qualifications

Education

• Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related discipline.

Experience

• 8+ years of experience in data engineering, analytics engineering, or data platform development.
• Experience designing and implementing cloud-based data solutions.
• Experience building large-scale data integration and transformation processes.
• Experience leading technical initiatives and delivering production‑ready solutions.
• Experience supporting enterprise production environments and operational processes.
• Experience working within regulated or compliance‑driven environments is a plus.

Technical Skills

• Advanced proficiency in SQL, Python, PySpark, and Spark performance optimization.
• Strong experience with Azure Databricks, Delta Lake, Unity Catalog, Databricks Workflows, and Delta Live Tables.
• Experience with modern cloud data platforms and lakehouse architectures.
• Experience developing scalable ETL/ELT processes and data pipelines.
• Knowledge of data modeling, data warehousing concepts, and analytics‑focused data structures.
• Experience with source control, CI/CD practices, automated testing, and deployment automation.
• Experience implementing data governance, quality, monitoring, and security controls.
• Strong troubleshooting, analytical, and problem‑solving abilities.
• Excellent communication and collaboration skills with both technical and non‑technical stakeholders.
• Experience with business intelligence, master data management, streaming technologies, infrastructure automation, or AI‑enabled solutions is a plus.
• Relevant cloud or data engineering certifications are preferred.

Addison Group is an Equal Opportunity Employer. Addison Group provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran, in accordance with applicable federal, state, and local laws. Reasonable accommodation is available for qualified individuals with disabilities upon request.

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