Senior Level Data Engineer Jobs
Senior level data engineer jobs put experienced engineers in charge of pipeline architecture, data platform strategy, and the cross-functional teams and projects that depend on them. Hiring is concentrated across Technology & Software, Consulting & Professional Services, and Banking & Financial Services, with 34% of openings remote or hybrid, and employers like Apple, Google, and Amazon hiring at this level now.
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Showing 5 of 709+ Senior Level Data Engineer jobs
About Avaya
Avaya is an enterprise software leader that helps the world’s largest organizations and government agencies forge unbreakable connections.
The Avaya Infinity™ platform unifies fragmented customer experiences, connecting the channels, insights, technologies, and workflows that together create enduring customer and employee relationships.
We believe success is built through strong connections – with each other, with our work, and with our mission. At Avaya, you'll find a community that values your contributions and supports your growth every step of the way.
Learn more at https://www.avaya.com
Job Information
Job Code: 00194008
Job Family: Research and Development
Job Function: Software Engineering
About the Job
Senior Data Engineer
Location: Irving, Texas
Job Duties:
Avaya LLC is seeking a Senior Data Engineer (Irving, TX) to spearhead the design, construction, and upkeep of our AI-enabled data pipeline. Collaborate closely with project managers, engineers, and analysts to elevate our data ecosystem. Develop and maintain scalable data pipelines for ingesting, transforming, and distributing large datasets. Design and implement secure data storage solutions. Optimize data processing performance and cost efficiency through monitoring and tuning. Integrate cloud services effectively for data engineering tasks while ensuring security and compliance. Implement data governance measures and ensure compliance with regulations. Utilize automation tools to streamline data operations. Collaborate with teams to understand data needs and deliver actionable solutions. Enhance real-time data insights for big data processing and analytics. Support BI initiatives through integration with visualization tools. Local telecommuting permitted.
Salary Range: $157,414 to $207,800 per year
Minimum Requirements:
Requires a Bachelor’s degree in Computer and Information Science or a related field and 6 years of experience building and maintaining big data, advanced data pipelines and scalable data infrastructure. Must have experience with: Cloud-based technologies, (Azure and Data Lakes); Lakehouse Storage Technologies and formats such as Azure Data Lake 2 (ADSL2), Delta Lake; AI, machine learning, and modern data processing tools (Pandas, NumPy, and Matplotlib); Automation tools (Terraform and GitHub Actions); Database Skills (SQL, ETL processes); Big data technologies (Hive, Spark, PySpark, Airflow and Databricks); Visualization tools (Power BI, Looker); and Programming languages (Python, Go, Scala, and Java).
Local telecommuting permitted.
This position is eligible for the Employee Referral Program
Preferred Certifications
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Avaya is an Equal Opportunity employer and a U.S. Federal Contractor. Our commitment to equality is a core value of Avaya. All qualified applicants and employees receive equal treatment without consideration for race, religion, sex, age, sexual orientation, gender identity, national origin, disability, status as a protected veteran or any other protected characteristic. In general, positions at Avaya require the ability to communicate and use office technology effectively. Physical requirements may vary by assigned work location. This job brief/description is subject to change. Nothing in this job description restricts Avaya right to alter the duties and responsibilities of this position at any time for any reason.
About Avaya
Avaya is an enterprise software leader that helps the world’s largest organizations and government agencies forge unbreakable connections.
The Avaya Infinity™ platform unifies fragmented customer experiences, connecting the channels, insights, technologies, and workflows that together create enduring customer and employee relationships.
We believe success is built through strong connections – with each other, with our work, and with our mission. At Avaya, you'll find a community that values your contributions and supports your growth every step of the way.
Learn more at https://www.avaya.com
Job Information
Job Code: 00194008
Job Family: Research and Development
Job Function: Software Engineering
About the Job
Senior Data Engineer
Location: Irving, Texas
Job Duties:
Avaya LLC is seeking a Senior Data Engineer (Irving, TX) to spearhead the design, construction, and upkeep of our AI-enabled data pipeline. Collaborate closely with project managers, engineers, and analysts to elevate our data ecosystem. Develop and maintain scalable data pipelines for ingesting, transforming, and distributing large datasets. Design and implement secure data storage solutions. Optimize data processing performance and cost efficiency through monitoring and tuning. Integrate cloud services effectively for data engineering tasks while ensuring security and compliance. Implement data governance measures and ensure compliance with regulations. Utilize automation tools to streamline data operations. Collaborate with teams to understand data needs and deliver actionable solutions. Enhance real-time data insights for big data processing and analytics. Support BI initiatives through integration with visualization tools. Local telecommuting permitted.
Salary Range: $157,414 to $207,800 per year
Minimum Requirements:
Requires a Bachelor’s degree in Computer and Information Science or a related field and 6 years of experience building and maintaining big data, advanced data pipelines and scalable data infrastructure. Must have experience with: Cloud-based technologies, (Azure and Data Lakes); Lakehouse Storage Technologies and formats such as Azure Data Lake 2 (ADSL2), Delta Lake; AI, machine learning, and modern data processing tools (Pandas, NumPy, and Matplotlib); Automation tools (Terraform and GitHub Actions); Database Skills (SQL, ETL processes); Big data technologies (Hive, Spark, PySpark, Airflow and Databricks); Visualization tools (Power BI, Looker); and Programming languages (Python, Go, Scala, and Java).
Local telecommuting permitted.
This position is eligible for the Employee Referral Program
Preferred Certifications
Footer
Avaya is an Equal Opportunity employer and a U.S. Federal Contractor. Our commitment to equality is a core value of Avaya. All qualified applicants and employees receive equal treatment without consideration for race, religion, sex, age, sexual orientation, gender identity, national origin, disability, status as a protected veteran or any other protected characteristic. In general, positions at Avaya require the ability to communicate and use office technology effectively. Physical requirements may vary by assigned work location. This job brief/description is subject to change. Nothing in this job description restricts Avaya right to alter the duties and responsibilities of this position at any time for any reason.
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Find JobsSenior Level Data Engineer Job Market
Who's Hiring
- Apple24
- Google13
- Amazon13
- Meta11
- NVIDIA10
Top Industries Hiring
- Technology & Software260
- Consulting & Professional Services67
- Banking & Financial Services54
- Investment & Asset Management44
- Electronics & Hardware42
Senior Level Data Engineer Jobs: Frequently Asked Questions
How do I get a senior level data engineer job?
Focus on demonstrating ownership, not just technical skill. Senior hiring managers want candidates who have designed data platforms end to end, made architectural decisions with real tradeoffs, and mentored junior engineers. A strong portfolio of work showing system-level thinking, experience with distributed systems at scale, and examples of cross-functional collaboration will set you apart from equally technical candidates who lack that leadership dimension.
Which companies hire senior level data engineers?
Companies hiring senior level data engineers right now include Apple, Google, and Amazon, based on current listings on Migrate Mate as of July 2026. Hiring at this level covers large enterprises with mature data organizations, high-growth technology companies scaling their data infrastructure, and consulting firms staffing senior technical roles for client engagements.
Are there remote senior level data engineer jobs?
Yes, and remote availability is strong at this level. About 34% of senior level data engineer openings are remote or hybrid as of July 2026, reflecting how many companies hire distributed engineering talent once candidates have the experience to work autonomously. On-site roles do exist, typically tied to industries with strict data governance or on-premises infrastructure requirements.
What makes a data engineer role senior level?
Senior level data engineer roles are defined by scope, ownership, and leadership. Where a mid-level engineer executes within a defined system, a senior engineer owns the architecture, makes decisions about tooling and design patterns, and is accountable for platform reliability and scalability. Mentoring junior and mid-level engineers and influencing how the broader team works are expected, not optional, at this stage.
Which industries hire the most senior level data engineers?
Senior level data engineer roles concentrate in Technology & Software, Consulting & Professional Services, and Banking & Financial Services, based on current listings on Migrate Mate as of July 2026. These sectors drive hiring at this level because they operate at data volumes and regulatory complexities that require experienced engineers who can build and govern infrastructure, not just maintain it.