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Sr Data Engineer Jobs (NOW HIRING)

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

The Senior Data Engineer contributes to the Enterprise Applications, Data, and AI Platforms group, designing scalable Microsoft Fabric data platforms. Responsibilities include establishing ...

Sr. Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Job Title: Sr. Data Engineer Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: Secret Employee Type: Regular Percentage of Travel Required: Up to 10% Type ...

Senior Data Engineer

Alpharetta, GA · On-site

$103K - $140K/yr

Senior Data Engineer Overview: We are seeking an experienced and visionary Senior Data Engineer to lead the design, architecture, and population of our new BI data warehouse. This role is highly ...

Senior Data Engineer

Plano, TX

$101K - $138K/yr

Senior Data Engineer - Hybrid Role A fast-growing and highly successful consumer financial services company based in Plano, TX 75024, is looking for a Senior Data Engineer to join their expanding ...

Senior Data Engineer

Washington, DC · On-site

$120K - $163K/yr

Senior Data Engineer Location: on-site (DC Metro area) with occasional Remote Clearance: Public Trust (or ability to obtain), Type: Full-time Overview: Seeking a Senior Data Engineer to support an ...

Senior Data Engineer

Dallas, TX · On-site

$120K - $140K/yr

Senior Data Engineer Location: Coppell, TX Salary Range: $120K-$140K We are looking to bring on a Senior Data Engineer to our team due to growth. What we need is someone who comes 8+ years of ...

New

$194K/yr

Job Title Senior Data Engineer Location Atlanta, Boston, Charlotte, Chicago, Dallas, Houston, Los Angeles, New York Regular/Temporary Regular Summary We have an opening for a Senior Data Engineer.

Senior Data Engineer

Sunnyvale, CA · On-site

$124K - $169K/yr

Senior Data Engineer Location: Sunnyvale, CA Job Type: Contract/W2 Key Skills: Tableau, Python, Snowflake. Overview: We are seeking an experienced Senior Data Engineer with at least 8 years of ...

Senior Data Engineer

Washington, DC · On-site

$119K - $162K/yr

Senior Data Engineer • Position Type: Hybrid • Location : Washington, D.C Role Specific Duties/ Role Responsibilities: * Plan, design, build, test, deploy, and maintain highly scalable web-based ...

Senior Data Engineer

Washington, DC · Hybrid

$119K - $162K/yr

Senior Data Engineer Position Type: Hybrid Location : Washington, D.C Role Specific Duties/ Role Responsibilities: * Plan, design, build, test, deploy, and maintain highly scalable web-based services ...

Senior Data Engineer

Dallas, TX · On-site

$120K - $140K/yr

Senior Data Engineer Location: Coppell, TX Salary Range: $120K-$140K We are looking to bring on a Senior Data Engineer to our team due to growth. What we need is someone who comes 8+ years of ...

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 Key Skills: Tableau, Python, Snowflake. Overview: We are seeking an experienced Senior Data Engineer ...

Sr. Data Engineer

Chicago, IL · Hybrid

$118K - $141K/yr

Job Title: Sr. Data Engineer Location(s): Chicago, IL ( Hybrid) Key Skills: AWS (EMR, DynamoDB, S3, Lambda), Python, PySpark, Databricks, SQL Overview: We are seeking a highly skilled Sr. Data ...

Senior Data Engineer

Dallas, TX · On-site

$120K - $140K/yr

Senior Data Engineer Location: Coppell, TX Salary Range: $120K-$140K We are looking to bring on a Senior Data Engineer to our team due to growth. What we need is someone who comes 8+ years of ...

Senior Data Engineer

Phoenix, AZ

$105K - $143K/yr

The Senior Data Engineer will be responsible for analyzing financial data processing workflows and translating business requirements into scalable technical data solutions. They will work closely ...

New

Sr Data Engineer

Lake Saint Louis, MO · On-site

$108K - $130K/yr

Senior Data Engineer Position Purpose: This position will provide the IT Shared Services with a platform for real-time stream processing by performing application and production support to help ...

Senior Data Engineer

Austin, MN · On-site

$117K - $164K/yr

We are currently seeking a Senior Data Engineer for our client in the Manufacturing domain. We value our professionals, providing comprehensive benefits and the opportunity for growth. This is a ...

Senior Data Engineer

Boston, MA · On-site +1

$115K - $156K/yr

Data Engineer & Senior Data Engineer Location: Remote or Boston, MA & San Mateo, CA Duration: FTE Candidates need to be able to manage data modeling and themovement of data from any disparate system ...

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Sr Data Engineer information

See salary details

$81K

$126.3K

$175K

How much do sr data engineer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for sr data engineer 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 does a SR data engineer do?

A senior data engineer designs, develops, and maintains large-scale data pipelines and architectures to support data collection, storage, and analysis. They work with tools like SQL, Python, and cloud platforms, ensuring data quality and security while collaborating with data scientists and analysts. Their role often involves optimizing data workflows and implementing best practices for data management.

What is the difference between Sr Data Engineer vs Data Engineer?

AspectSr Data EngineerData Engineer
Required CredentialsBachelor's degree in CS or related field; 3+ years experience; SQL, Python, SparkBachelor's degree in CS or related field; 1-3 years experience; SQL, Python, Spark
Work EnvironmentCollaborates with data scientists, analysts; designs scalable data pipelinesBuilds and maintains data pipelines; supports data analysis
Employer & Industry UsageTech companies, finance, healthcare; used for complex data projectsStartups, enterprises; used for data collection and processing

The main difference between a Sr Data Engineer and a Data Engineer lies in experience level, responsibilities, and complexity of projects. Sr Data Engineers typically have more experience, handle more complex data architecture, and mentor junior staff, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but the senior role involves greater technical leadership and strategic planning.

What engineer makes $500,000 a year?

Senior Data Engineers with extensive experience, advanced skills in data architecture, and expertise in tools like Spark, Hadoop, or cloud platforms can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, or other incentives. Achieving this level typically requires years of experience and a strong track record in data engineering roles.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, build, and maintain data infrastructure. Data engineers are essential for managing complex data pipelines, ensuring data quality, and implementing scalable solutions using tools like SQL, Python, and cloud platforms. Their expertise remains critical in developing and overseeing AI systems and analytics workflows.

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

To thrive as a Sr Data Engineer, you need expertise in data architecture, ETL processes, programming (such as Python or Scala), and a strong background in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, cloud platforms (AWS, Azure, GCP), and database management systems, along with relevant certifications, is typically required. Advanced problem-solving abilities, attention to detail, and strong collaboration skills help set top performers apart in this role. These skills and qualities ensure the efficient design, implementation, and maintenance of robust data pipelines that enable data-driven decision-making across the organization.

How do Sr Data Engineers typically collaborate with data scientists and analysts within a project team?

Sr Data Engineers play a crucial role in bridging the gap between raw data and actionable insights. They work closely with data scientists and analysts to understand data requirements, design robust data pipelines, and ensure the reliability and scalability of data infrastructure. Regular collaboration involves translating analytical needs into technical specifications, optimizing data flow, and troubleshooting data issues. This teamwork ensures that data-driven projects progress smoothly and that the analytical team has timely access to clean, well-structured data.

What engineers make 300,000 a year?

Senior data engineers, software engineers, and specialized roles such as machine learning engineers can earn $300,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and in high-demand industries like finance or tech. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.

What are Sr Data Engineers?

Sr Data Engineers, or Senior Data Engineers, are experienced professionals responsible for designing, building, and maintaining scalable data pipelines and architectures. They work with large datasets, ensuring data quality, reliability, and accessibility for analytics and business intelligence purposes. Sr Data Engineers collaborate with data scientists, analysts, and other stakeholders to implement data solutions that support decision-making and business growth. Their expertise often includes proficiency in programming languages like Python or Java, experience with big data tools such as Hadoop or Spark, and a deep understanding of database systems.
More about Sr Data Engineer jobs
What cities are hiring for Sr Data Engineer jobs? Cities with the most Sr Data Engineer job openings:
What states have the most Sr Data Engineer jobs? States with the most job openings for Sr Data Engineer jobs include:
Infographic showing various Sr Data Engineer job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $126,328 per year, or $60.7 per hour.
Senior Data Engineer

Senior Data Engineer

K&L Gates

Austin, TX • On-site

$105K - $142K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

Job Description
At K&L Gates, we are looking for smart, imaginative and hard-working people with diverse backgrounds, experiences and ideas to join us. Perhaps our search for talented visionaries and your search for important and impactful work lead to the same place.
We are seeking a Senior Data Engineer to join the firm. The Senior Data Engineer contributes to the Enterprise Applications, Data, and AI Platforms group, designing scalable Microsoft Fabric data platforms. Responsibilities include establishing engineering standards, leading design, implementation, and optimization of Lakehouse, Warehouse, and Azure AI Foundry data pipelines. Role involves mentoring staff, collaborating with business and technology leaders, and delivering reliable governed products aligned with the firm's AI strategy. Reporting to the Senior Manager, Data Engineering, this position focuses on technical leadership and does not include direct supervisory responsibilities.
KEY RELATIONSHIPS
Director, Enterprise Applications, Data, and AI Platforms; Senior Manager, Data Engineering; Senior Manager, Automation and Development; Senior Manager, Enterprise Applications; Senior Applications Architect; Senior Data Architect; Team Lead, Workflow and Automation; Technical Program Manager; Project Manager; Cloud Platform Engineer; Security Engineer; Business Data Experts and Business Data Sponsors
ESSENTIAL DUTIES
• Designing scalable and resilient data platforms with Microsoft Fabric, including Lakehouse and Warehouse solutions on OneLake, while making independent technology decisions.
• Establishing and maintaining data engineering standards, patterns, and best practices across the data engineering group and the wider EA organization.
• Designing, developing, and overseeing complex data pipelines using Fabric Data Factory, Dataflow Gen2, and Fabric Notebooks for ingestion, transformation, and advanced automation.
• Leading schema design, dimensional modeling, Medallion Architecture implementation, and semantic model development to enable analytics, reporting, and AI-related workloads effectively.
• Optimizing data performance, reliability, and cost by proactively tuning, monitoring, and validating data quality through established processes.
• Ensuring data governance, quality, and security standards are integrated into solutions, collaborating with governance leads to apply classification, lineage, and access controls.
• Designing and maintaining data pipelines supporting Azure AI Foundry workloads, including grounding datasets, vector indexing preparation, and feature data for retrieval-augmented generation.
• Providing mentorship and guidance to junior data engineers through code reviews, design sessions, and technical coaching, enhancing the team's overall engineering quality.
• Partnering with business stakeholders to convert complex requirements into scalable data architectures while collaborating within an Agile DevOps model. Supporting CI/CD pipelines, automated deployments, and maintaining architecture documentation.
• Serving as a model for the Enterprise Applications team philosophy, advocating enterprise processes, procedures, security, standards, and knowledge-first support.
• Defining and overseeing testing strategies for assigned data solutions, including quality standards, user acceptance frameworks, and validation of data accuracy.
• Leveraging AI tools like Microsoft Copilot and Claude to aid development and contribute to AI solutions on the Microsoft platform stack. Adhering to governance standards, ensuring responsible use, data classification, and implementing model deployment controls effectively.
EXPERIENCE & SKILLS REQUIRED
• Hold Bachelor's degree in a technical field; equivalent experience accepted, with ability to obtain Microsoft certifications including DP-600, DP-203, and AI-900.
• Understand Data Mesh and Microsoft Purview, including domain ownership, federated governance, metadata management, cataloging, and sensitivity labeling.
• Maintain a secure workspace and willingness to travel up to 10% for offices, vendor sites, conferences, or seminars.
• Participate in scheduled release windows and production support events, including evenings or weekends, with advance notice and flexible scheduling.
• Demonstrate the ability to implement data governance, ensure quality, optimize performance, and integrate security controls into enterprise data solutions.
• Translate complex business requirements into scalable architectures and communicate designs visually using diagramming, whiteboarding, and collaborative tools.
• Collaborate effectively with technical and executive stakeholders while mentoring engineers and leading technical decisions to elevate engineering quality.
• Adapt to new technologies and utilize AI-powered tools in enterprise settings to enhance productivity and achieve improved results.
• 5+ years designing enterprise data platforms using Microsoft Fabric, including pipelines, schema design, dimensional modeling, Medallion Architecture, and semantic layer development.
• Demonstrate expertise in SQL and Python for data transformation and automation, utilizing Spark and CI/CD pipelines through Azure DevOps or GitHub Actions.
• Possess experience with Azure AI Foundry pipelines and real-time, event-driven architecture using Microsoft Fabric Real-Time Intelligence.
• Possess exceptional experience applying enterprise data governance practices or contributing to data governance or architecture councils.
Compensation Salary $128,000 - $ 249,000 / year
The compensation salary for this position will be determined during the interview process and will vary based on multiple factors, including but not limited to prior experience, relevant expertise, current business needs, and market factors.
#LI-NW1
In accordance with the Los Angeles Fair Chance Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act, qualified applicants for our Los Angeles and San Francisco offices with arrest and conviction records will be considered.
ABOUT THE FIRM
K&L Gates is a fully integrated global law firm with lawyers located across five continents in more than 40 offices. We have experienced dramatic growth in the past decade and now rank among the largest U.S. based law firms in the world. We take pride in constantly striving for innovation, imagination and an entrepreneurial spirit. We come up with big ideas and then roll up our sleeves to get the job done, guiding our clients through their most complex issues in a variety of industry sectors and across multiple regions of the world.
The industry recognition the firm has garnered emanates from the foundation of a global community aligned on behalf of our clients. The people at K&L Gates are committed to working together to create a legacy for each other, the firm, our clients, and the communities in which we serve. We thrive in an inclusive and socially conscious environment that embraces diversity and takes a holistic approach to the career evolution of all our professionals.
For more information or to view other job opportunities, please click here to go back to our careers page.
Notice: We participate in E-Verify in certain Firm locations for purposes of verifying employment eligibility.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
BENEFITS
K&L Gates offers our personnel a comprehensive suite of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time personnel include:
  • Medical/Prescription Drug Coverage (including a Health Savings Account feature)
  • Back-up Child/Elder Care and access to a caregiving concierge
  • Dental Insurance
  • Wellness Program
  • Vision Insurance
  • Pre-tax Commuting Benefits
  • 401(k) Retirement Plan and Profit Sharing
  • Business Travel Accident Insurance
  • Short- and Long-term Disability Protection
  • Pet Insurance
  • Life Insurance (including Basic, Supplemental, Spouse, Child, and Accidental Death and Dismemberment)
  • Health Advocacy Services
  • Paid Time Off (25-30 days per year)
  • Identity Protection/Restoration and Fraud Insurance
  • Parental Leave (18 weeks of which 6 are paid; short-term disability may provide additional paid time off)
  • Student loan refinancing options and access to a student loan concierge service
  • Paid Holidays (12)
  • Addiction Resources
  • Family Building Benefits
  • Breast Milk Delivery and Lactation Support Services
  • Flexible Spending Accounts
  • Employees also may be eligible to receive bonuses and certain expense reimbursements
  • Employee Assistance Program
  • Professional Development and CLE Credit Opportunities
  • 529 Deductions
  • Relocation
  • Accident Insurance
  • Employee Referral Program
  • Critical Illness Insurance
  • Hybrid/Remote Work Opportunities
  • Hospital Indemnity Insurance
  • Perks including: Technology, Entertainment, and Travel Discount Programs
  • Bereavement Leave
  • All other benefits (such as leaves of absence) required by law

EQUAL EMPLOYMENT OPPORTUNITY
The Firm is an equal opportunity employer. It is the policy of the Firm that employment decisions shall be based on merit, qualifications and competence. Employment practices will not be influenced or affected by virtue of a person's race (including traits associated with race, including hair texture and protective hairstyles such as afros, braids, locks, and twists), religion, creed, color, national origin, ancestry, citizenship, physical disability, mental disability, medical condition, genetic information, marital status, sex, pregnancy, childbirth, breastfeeding, gender, parental status, gender identity, gender expression, sexual orientation, age, familial status, domestic violence victim status, military and veteran status, or any other characteristic protected by applicable federal, state, or local law. This policy governs all aspects of employment including, without limitation, recruiting, hiring, compensation, benefits, promotion, assignment, and dismissal. In addition, it is the Firm's policy to provide an environment that is free of prohibited harassment of any kind including, without limitation, that which is based on sex, race, age, disability, ethnic background, or any other category protected by law (including the categories listed above). The Firm complies with federal and state disability laws and makes reasonable accommodations for applicants and employees with disabilities. If you require reasonable accommodation in completing this application, interviewing, or otherwise participating in the employee selection process, please contact askHR@klgates.com.