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Senior Databricks Data Engineer Jobs in Grand Prairie, TX

talentmovers inc

Azure Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Lead/ Senior Azure Data Engineer Location : Dallas, TX Rate : On C2C Job Summary: The Azure Data ... Databricks, Data Lake Store, PySpark, Apache Spark, Synapse, Data Factory] to implement ...

VIS IT Solutions Inc

DataBricks Engineer

Plano, TX · On-site

Data Bricks Engineer Location: Plano, TX Job Summary: We are seeking an experienced Databricks Engineer with strong expertise in migration of PySpark/Hive workloads from AWS EMR or legacy platforms ...

INSPYR Solutions

Data Engineer - CTH

Fort Worth, TX · On-site

$38 - $45/hr

We are seeking a Senior Data Engineer to join a high-performing technology team focused on building ... Hands-on experience with Azure Data Factory, Azure Databricks, Azure Data Lake/Blob Storage, and ...

Smart Bot Systems

Senior Data Engineer

Plano, TX · On-site

$130K - $135K/yr

Job Title - Senior Data Engineer w/d Databricks and Python Experience (5) Location: Plano, TX and Wilmington, DE - 5 days onsite role, no hybrid Salary: $130-135K plus benefits We are looking for a ...

Pwc

Data Engineer - Senior Manager

Fort Worth, TX · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ...

Pwc

Data Engineer - Senior Manager

Dallas, TX · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ...

Artius Solutions

Data Engineer

Dallas, TX · On-site

$60 - $65/hr

Job Title: Data Engineer Location: Dallas, TX Job Summary: As a Databricks Lead, you will be a ... senior role. * Proven expertise in designing and implementing data solutions on Databricks.

GEI Consultants

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. We are GEI. Some of the world's most ...

GEI Consultants

Data Engineer

Dallas, TX

$90K - $150K/yr

Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. We are GEI. Some of the world's most ...

1872 Consulting

Azure Data Architect (Dalas)

Dallas, TX · On-site

$63 - $81.25/hr

Azure Synapse, Databricks, Data Factory, Data Lake, Event Hubs, Cosmos DB. • Strong background in ... Engineer or Solutions Architect) Company : 1872 Consulting is a recruitment and IT consulting ...

Perficientcorp Inc

Data Engineer

Fort Worth, TX · On-site

$109K - $131K/yr

Sr. Data Engineer - Fort Worth, TX (3 Days Onsite) Description: Minimum Qualifications- Education ... Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and ...

3B Staffing LLC

Azure Data Engineer

Dallas, TX

$113K - $136K/yr

We need a senior (10+ years) Azure Data engineer with recent experience in Banking, Capital Markets ... Azure Databricks (highlighted expertise) * How many years working with: Banking, Capital Markets or ...

3B Staffing LLC

Azure Data Engineer

Dallas, TX

$113K - $136K/yr

We need a senior (10+ years) Azure Data engineer with recent experience in Banking, Capital Markets ... Azure Databricks (highlighted expertise) * How many years working with: Banking, Capital Markets or ...

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All JobsDatabricks Data Engineer JobsSenior Databricks Data Engineer JobsSenior Databricks Data Engineer Jobs in Grand Prairie, TX

Senior Databricks Data Engineer information

See Grand Prairie, TX salary details

$56.3K

$119.8K

$173.7K

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

As of Sep 5, 2026, the average yearly pay for senior databricks data engineer in Grand Prairie, TX is $119,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,900.00 and $135,800.00 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 Grand Prairie, TX?

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

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

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

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

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

Senior Databricks Data Engineer jobs near you

Software Engineer III - Data Engineer

JPMorgan Chase & Co.

Plano, TX • On-site

$53.75 - $72.25/hr

Full-time

Medical, Retirement

This job post has expired today. Applications are no longer accepted.

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

78th of 175 rated banks

Job description


As a Senior Associate Data Engineer within the Corporate Technology Risk organization, you will contribute to the development and modernization of the Consumer and Community Banking Risk Feature Engineering Platform. You will be expected to apply strong software engineering and data engineering practices while contributing to the platform's strategic direction through technical execution, innovation, automation, and continuous improvement.
Job Responsibilities
  • Design, develop, and support scalable feature engineering solutions on Databricks that enable risk analytics, fraud detection, machine learning, and enterprise data products.
  • Build and maintain reusable batch and real-time feature pipelines, including feature onboarding, versioning, testing, monitoring, and lifecycle management within the Risk Feature Store ecosystem.
  • Implement modern data engineering solutions using Databricks, Apache Spark, PySpark, Delta Lake, Lakeflow, and declarative pipeline patterns, ensuring scalability, resiliency, and maintainability.
  • Drive platform modernization initiatives by migrating legacy Spark and EMR workloads to Databricks-native architectures and adopting cloud-native engineering practices.
  • Apply software engineering best practices including CI/CD, automated testing, code reviews, observability, release management, and production support to deliver high-quality, reliable solutions.
  • Leverage enterprise-approved AI-assisted engineering tools such as GitHub Copilot and LLM Suite to accelerate development, improve code quality, automate SDLC activities, and identify opportunities for innovation.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
  • Implement data quality, governance, lineage, and security controls, ensuring compliance with regulatory requirements, PCI standards, metadata management, retention policies, and audit expectations.
  • Develop and support cloud-native solutions on AWS, utilizing services such as S3, Glue, Lambda, ECS/EKS, Aurora/RDS, and Infrastructure-as-Code technologies including Terraform.
  • Participate in architecture reviews and technical decision-making, contributing recommendations that improve platform performance, operational stability, cost efficiency, resiliency, and long-term scalability.
  • Collaborate with data scientists, model developers, business stakeholders, and engineering teams, while mentoring junior engineers and promoting reuse-first, secure, and high-performing engineering practices across the organization.

Required Qualifications, Capabilities and Skills
  • Formal training or certification in software engineering, computer science, data engineering, or a related discipline with 3+ years of applied industry experience.
  • Strong hands-on experience with Databricks, Apache Spark, PySpark, Delta Lake, and modern Lakehouse architectures.
  • Experience building and supporting large-scale batch and streaming data pipelines.
  • Proficiency in Python and SQL with a strong understanding of distributed computing principles.
  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
  • Working knowledge of Databricks Unity Catalog, Delta Live Tables, and modern declarative pipeline frameworks.
  • Experience with AWS cloud services including S3, Glue, EMR, Lambda, ECS/EKS, and related technologies.
  • Experience implementing data-quality, data-governance, and lineage solutions.
  • Familiarity with data security controls, encryption, and PCI data handling requirements.

Preferred Qualifications, Capabilities and Skills
  • Professional certifications such as Databricks Data Engineer Associate/Professional and/or AWS Solutions Architect/Developer certifications are strongly preferred.
  • Experience with Feature Engineering platforms including Databricks Feature Engineering, Feature Store, Feature Views, or similar enterprise feature management technologies.
  • Hands-on experience building scalable real-time and event-driven data solutions, leveraging technologies such as Kafka, streaming frameworks, and distributed services architectures.
  • Proven experience modernizing data platforms, including migration of legacy Spark/EMR workloads to Databricks-native architectures and adoption of Lakehouse best practices.
  • Knowledge of cloud-native data platform technologies and governance, including Terraform, Snowflake, Databricks SQL, Unity Catalog, and Infrastructure-as-Code practices.

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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