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Senior Databricks Data Engineer Jobs in Dallas, TX

Senior Data Engineer (Databricks/Snowflake)

Irving, TX · On-site

$109K - $132K/yr

We're looking for a Senior Data Engineer to design, build, and support scalable data engineering ... Experience with Databricks and/or Snowflake * Familiarity with Kafka, Spark, CDC frameworks, or ...

"DATA ENGINEER"

Dallas, TX · Remote

$117K - $140K/yr

Lead Data Engineer & Sr. Data Engineer Location: Remote Duration: CTH/FTE Type: Only W2 Note ... Databricks * Must have Azure (Azure Data Factory, Azure Synapse Analytics) develop and maintain ...

Senior Azure Data Engineer

Irving, TX · On-site

$101K - $138K/yr

Job Title: Senior Azure Data Engineer Location: Irving, TX OR Chicago, IL (Hybrid 3 days onsite ... Build and optimize data solutions using Azure Data Factory, Azure Databricks, Azure SQL, and ...

Associate Data Engineer

Frisco, TX · On-site

$107K - $129K/yr

Responsibilities : • Execute assigned components of solution designs handed off by Senior and ... and Databricks (Delta Lake, Unity Catalog) per the design. • Apply medallion (bronze, silver ...

Data Engineer

Frisco, TX · On-site

$107K - $128K/yr

Data Engineer - GA UPDATE: 7 positions open!! 5 SUB SPOTS AVAILABLE!!! Location: Dunwoody, GA ... Utilize Databricks with Spark and Python/Scala for data transformation and analytics * Manage ...

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

InterSources Inc is a company seeking a Databricks Lead Engineer responsible for architecting and implementing advanced data solutions on the Databricks platform. The role involves leading a team of ...

Strong in SQL and Python proficiency with hands-on experience in medallion/Lakehouse architectures on Databricks, Snowflake, AWS, or Azure. Job Overview: * Data Engineering Skilled in building ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Data Engineer Location: Dallas, TX Duration: Long Term project Full Time Position Data Engineer ... architectures on Databricks, Snowflake, AWS, or Azure. Required Skills: Minimum 5+ years of ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Role - Data Engineer * 2-3 years of hands-on experience in Data Engineering * Strong experience in ... Experience working with Databricks and Delta Lake architecture * Good understanding of SQL ...

Azure Databricks Engineer

Dallas, TX · On-site

$59.25 - $77.25/hr

Azure Databricks Architecture & Design : * Design, build, and optimize scalable, high-performance ... Data Engineering & Integration : * Design and implement ETL/ELT processes to ingest, process, and ...

Sr. Pyspark Data Engineer

Irving, TX · On-site

$109K - $132K/yr

Role: Sr. PySpark Data Engineer - Fulltime Location: Irving, TX We are seeking a skilled PySpark ... Experience with cloud platforms (AWS, Azure, or GCP) and services like S3, EMR, Databricks, Glue ...

Data Engineer

Farmers Branch, TX · On-site

$145K - $170K/yr

Create and maintain cloud-based data solutions on Azure using services such as Databricks, Synapse ... Apply source control, DevOps practices, and automated release processes to enable consistent and ...

New

Sr. Data Engineer

Irving, TX · On-site

$120 - $160/hr

We are actively recruiting for a Sr. Data Engineer to join our growing team! We believe ... Proven experience processing large-scale data using Spark clusters within Azure Databricks.

Showing results 41-60

Senior Databricks Data Engineer information

See Dallas, TX salary details

$58.9K

$125.2K

$181.5K

How much do senior databricks data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for senior databricks data engineer in Dallas, TX is $125,194.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,400.00 and $142,000.00 per year, depending on experience, location, and employer.

What is a Senior Databricks Data engineer?

Senior Databricks Data Engineers are experienced professionals who design, develop, and optimize large-scale data processing pipelines using the Databricks platform. They work with big data technologies like Apache Spark, Delta Lake, and cloud platforms such as Azure or AWS. Their responsibilities include building and maintaining ETL processes, ensuring data quality, and collaborating with data scientists and analysts to deliver reliable, high-performance data solutions. As senior engineers, they also mentor junior team members and contribute to architectural decisions.

How does a Senior Databricks Data engineer typically collaborate with data scientists and analysts on large-scale projects?

A Senior Databricks Data Engineer works closely with data scientists and analysts to design, build, and optimize data pipelines that enable advanced analytics and machine learning initiatives. They often participate in cross-functional meetings to understand data requirements, translate them into scalable ETL processes, and ensure data quality and accessibility. Regular collaboration also involves troubleshooting data issues, optimizing Spark jobs for performance, and sharing best practices for data management. This close teamwork ensures that analytical teams have reliable, timely, and well-structured data to drive insights and decision-making.

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

To thrive as a Senior Databricks Data Engineer, you need advanced expertise in data engineering concepts, big data technologies, and proficiency in programming languages like Python or Scala, usually backed by a bachelor's degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (Azure, AWS, or GCP), and certifications like Databricks Certified Data Engineer are typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams distinguish top performers in this role. These skills are essential to efficiently design scalable data solutions, optimize data workflows, and drive business insights in complex data environments.

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

AspectSenior Databricks Data EngineerData Engineer
CredentialsTypically requires experience with Databricks, Spark, cloud platforms, and often certifications like Databricks Certified Data Engineer AssociateRequires knowledge of data pipelines, SQL, ETL tools, and often cloud platform experience, but less specialized in Databricks
Work EnvironmentWorks primarily within Databricks environment, focusing on big data processing and analyticsWorks across various data tools and platforms, including traditional ETL and cloud services
Industry UsageCommon in organizations leveraging Databricks for big data analytics and machine learningWidely used across industries for general data pipeline development and data management

The main difference is that a Senior Databricks Data Engineer specializes in using Databricks and Spark for big data solutions, often requiring specific certifications and experience. A Data Engineer has a broader focus on data pipeline development across various tools and platforms, with less emphasis on Databricks-specific skills.

Is a Senior Databricks Data Engineer in demand?

A Senior Databricks Data Engineer is in high demand due to the increasing adoption of cloud-based data platforms and the need for advanced data processing skills. Professionals with expertise in Spark, SQL, and cloud environments like Azure or AWS are particularly sought after in data-driven industries.

What are the most commonly searched types of Databricks Data Engineer jobs in Dallas, TX?

The most popular types of Databricks Data Engineer jobs in Dallas, TX are:

What are popular job titles related to Senior Databricks Data Engineer jobs in Dallas, TX?

For Senior Databricks Data Engineer jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Senior Databricks Data Engineer jobs in Dallas, TX look for?

The top searched job categories for Senior Databricks Data Engineer jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Senior Databricks Data Engineer jobs?

Cities near Dallas, TX with the most Senior Databricks Data Engineer job openings:

Infographic showing various Senior Databricks Data Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $125,194 per year, or $60.2 per hour.

Senior Data Engineer (Databricks/Snowflake)

US Bank

Irving, TX • On-site

$109K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


U.S. Bank rating

8.1

Company rating: 8.1 out of 10

Based on 364 frontline employees who took The Breakroom Quiz

67th of 175 rated banks


Job description

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One.

Job Description

We're looking for a Senior Data Engineer to design, build, and support scalable data engineering solutions that power analytics, AI, and business-critical data products. This role combines strong software engineering fundamentals with modern data engineering practices and requires an individual who thrives in a collaborative, agile environment and takes ownership of delivering reliable, high-quality solutions.

What You'll Do

Design & Deliver Data Solutions

  • Design, develop, test, and maintain scalable data pipelines and applications
  • Build batch and real-time solutions supporting analytics and AI use cases
  • Deliver production-ready, high-quality code aligned to engineering standards

Drive Engineering Excellence

  • Create reliable, scalable, and performant solutions
  • Apply software engineering best practices, code reviews, testing, and automation
  • Ensure compliance, security, and operational readiness throughout the development lifecycle

Support Reliability & Continuous Improvement

  • Analyze production issues, identify root causes, and implement improvements
  • Champion DevOps, DataOps, and software reliability engineering practices
  • Help improve engineering processes, delivery velocity, and overall solution quality

Collaborate Across Teams

  • Partner with product, architecture, engineering, and business stakeholders to deliver customer-focused solutions
  • Translate requirements into technical designs and actionable development plans
  • Communicate progress, risks, and blockers proactively

Embrace Innovation

  • Leverage modern technologies, cloud platforms, and AI-enabled development tools
  • Contribute to a culture of innovation, collaboration, and continuous learning

Basic Qualifications

  • Bachelor's degree, or equivalent work experience
  • Five+ years of relevant software engineering or data engineering experience

Preferred Skills & Experience

Data Engineering & Development

  • Experience building scalable data pipelines and data processing solutions
  • Strong proficiency in Python, PySpark, SQL, and software engineering best practices
  • Experience delivering production-grade applications and data products

Platforms & Cloud

  • Experience with Databricks and/or Snowflake
  • Familiarity with Kafka, Spark, CDC frameworks, or related technologies
  • Experience with Azure and/or AWS cloud environments

Engineering Practices

  • Strong understanding of Agile, DevOps, and CI/CD principles
  • Knowledge of algorithms, data structures, architectural patterns, and system design
  • Experience with monitoring, data quality, and operational support practices

Collaboration & Problem Solving

  • Ability to work effectively across product, engineering, and business teams
  • Strong analytical, troubleshooting, and problem-solving skills
  • Ability to understand business objectives and translate them into technical solutions

Location Expectation
This role requires working from a U.S. Bank location three (3) or more days per week.

If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to ourdisability accommodations for applicants.

Benefits:

Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

  • Healthcare (medical, dental, vision)

  • Basic term and optional term life insurance

  • Short-term and long-term disability

  • Pregnancy disability and parental leave

  • 401(k) and employer-funded retirement plan

  • Paid vacation (from two to five weeks depending on salary grade and tenure)

  • Up to 11 paid holiday opportunities

  • Adoption assistance

  • Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

Review our full benefits available by employment status here.

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about theE-Verify program.

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $119,765.00 - $140,900.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.


What U.S. Bank employees say

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About U.S. Bank

Sourced by ZipRecruiter

U.S. Bank is a reputable and established financial institution that plays a significant role in the banking sector. With a history spanning over 150 years, U.S. Bank has built a strong foundation of trust and reliability. As a comprehensive bank, they offer a wide array of financial products and services to cater to the diverse needs of their customers, including individuals, businesses, and communities. Customer satisfaction is of utmost importance to U.S. Bank. They prioritize delivering exceptional service and fostering long-term relationships with their clients. Through their extensive network of branches and advanced digital banking platforms, U.S. Bank ensures convenient access to their services, empowering customers to manage their finances efficiently and securely.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1863

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