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Databricks Software Jobs in Dallas, TX (NOW HIRING)

Tiger Analytics Inc.

Databricks Admin

Dallas, TX · Remote

The ideal candidate will have demonstrated experience in software engineering, architecture, and large-scale delivery in a fast-paced, agile environment. Requirements The Azure Databricks ...

Tiger Analytics Inc.

Databricks Admin

Dallas, TX · On-site +1

The ideal candidate will have demonstrated experience in software engineering, architecture, and large-scale delivery in a fast-paced, agile environment. Requirements The Azure Databricks ...

Tiger Analytics Inc.

Databricks Admin

Dallas, TX

The ideal candidate will have demonstrated experience in software engineering, architecture, and large-scale delivery in a fast-paced, agile environment. Requirements The Azure Databricks ...

Deloitte

Databricks Engineer

Westlake, TX · On-site +1

Work you'll do As a Databricks Engineer on the AI & Data team, you will be responsible for ... across software, data, AI, network, and hybrid cloud infrastructure. The practice helps clients ...

Deloitte

Databricks Engineer

Fort Worth, TX · On-site +1

Work you'll do As a Databricks Engineer on the AI & Data team, you will be responsible for ... across software, data, AI, network, and hybrid cloud infrastructure. The practice helps clients ...

WorldLink

Alliances Manager (Databricks)

Frisco, TX · On-site

Alliances Manager (Databricks) POSITION TYPE: Full Time LOCATION: Frisco, TX (Onsite) ABOUT ... From custom software development to cloud hosting, from big data to cognitive computing, we help ...

Deloitte

Databricks Engineer

Dallas, TX · On-site +1

Work you'll do As a Databricks Engineer on the AI & Data team, you will be responsible for ... across software, data, AI, network, and hybrid cloud infrastructure. The practice helps clients ...

Deloitte

Databricks Manager

Dallas, TX · On-site +1

... software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by ... Experience with Databricks MLOps or infrastructure setup * Experience coordinating delivery teams ...

Deloitte

Databricks Manager

Westlake, TX · On-site +1

... software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by ... Experience with Databricks MLOps or infrastructure setup * Experience coordinating delivery teams ...

Deloitte

Databricks Manager

Fort Worth, TX · On-site +1

... software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by ... Experience with Databricks MLOps or infrastructure setup * Experience coordinating delivery teams ...

CEDENT

Azure Databricks Engineer

Dallas, TX

$59.25 - $77.25/hr

Azure Databricks Architecture & Design : * Design, build, and optimize scalable, high-performance data pipelines and data lakes using Azure Databricks. * Architect and implement end-to-end analytics ...

MAQ Software

Software Data Operations Engineer

Plano, TX · On-site

$107K - $128.50K/yr

Software Data Operations Engineer Plano (Dallas), Texas About MAQ Software MAQ Software enables ... Our team leveraged Azure Databricks for advanced data transformation, Azure Front Door for global ...

MAQ Software

Software Data Operations Engineer

Plano, TX · On-site

$107K - $128.50K/yr

Software Data Operations Engineer  Plano (Dallas), Texas About MAQ Software MAQ Software enables ... Our team leveraged Azure Databricks for advanced data transformation, Azure Front Door for global ...

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How much do databricks software jobs pay per year?

As of May 29, 2026, the average yearly pay for databricks software in Dallas, TX is $110,641.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $128,600.00 per year, depending on experience, location, and employer.

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

To thrive as a Databricks Software Engineer, you need strong programming skills in languages like Python, Scala, or Java, as well as a solid understanding of distributed computing and data engineering concepts. Familiarity with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valued. Excellent problem-solving abilities, collaboration, and effective communication are important soft skills for this role. These skills ensure efficient development, deployment, and optimization of big data solutions that drive business insights and innovation.

What are some common challenges faced by Databricks Software Engineers, and how can they be overcome?

Databricks Software Engineers often encounter challenges related to scaling big data pipelines, optimizing Spark workloads, and integrating diverse data sources. Navigating the complexity of distributed systems and managing cloud infrastructure can be demanding, especially when ensuring data reliability and security. To overcome these challenges, engineers typically collaborate closely with data scientists, DevOps, and platform teams, leverage Databricks' extensive documentation and community support, and adopt best practices such as version control and continuous integration. Regular knowledge sharing and staying updated with new features also help engineers succeed in this dynamic environment.

What is Databricks Software?

Databricks Software is a unified analytics platform built on Apache Spark that provides tools for big data processing, machine learning, and collaborative data science. It enables organizations to store, manage, and analyze large datasets efficiently, supporting both batch and streaming data workloads. Databricks also offers collaborative notebooks, automated workflows, and integrations with cloud storage and data lakes, making it a popular choice for data engineering, data science, and business analytics teams.

What is the difference between Databricks Software vs Data Engineer?

AspectDatabricks SoftwareData Engineer
Primary RolePlatform for data analytics and machine learningBuilds, maintains data pipelines and infrastructure
Required SkillsSQL, Spark, cloud platforms, data science basicsSQL, ETL, programming (Python, Scala), database management
Work EnvironmentCloud-based, collaborative data platformData teams, cloud or on-premises environments
CertificationsDatabricks certifications, cloud certificationsNone specific, often cloud or data certifications

While Databricks Software provides a platform for data analytics and machine learning, Data Engineers focus on building and maintaining data pipelines and infrastructure. Both roles often work together but have distinct responsibilities and skill sets within the data ecosystem.

What are popular job titles related to Databricks Software jobs in Dallas, TX? For Databricks Software jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Databricks Software jobs in Dallas, TX look for? The top searched job categories for Databricks Software jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Databricks Software jobs? Cities near Dallas, TX with the most Databricks Software job openings:
Databricks Software jobs near you
Lead Software Engineer - Databricks, Spark, AWS

Lead Software Engineer - Databricks, Spark, AWS

JPMorgan Chase & Co.

Plano, TX • On-site

$152K - $215K/yr

Full-time

Medical, Retirement

Posted 25 days ago

JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 466 frontline employees who took The Breakroom Quiz

45th of 141 rated banks

Job description

Job Description
This is your chance to change the path of your career and guide multiple teams to success at one of the world's leading financial institutions.
As a Lead Software Engineer at JPMorgan Chase within Corporate Sector, Chief Technology Office, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job Responsibilities:
  • Lead architecture and delivery of high-throughput, low-latency data pipelines using Databricks and Apache Spark (Core, SQL, Structured Streaming).
  • Establish lakehouse patterns with Delta Lake (ACID transactions, schema evolution, time travel, Z-ordering, compaction) and ensure performance at scale.
  • Own Databricks cluster strategy and setup: runtime selection, autoscaling, driver/executor sizing, Spark configs, init scripts, cluster policies, pools, and instance profiles.
  • Orchestrate jobs with Databricks Workflows; integrate with AWS eventing and orchestration as needed.
  • Design secure data ingestion and transformation frameworks leveraging AWS services:
    • S3 for data lake storage and lifecycle management
    • Glue for catalog/metadata and ETL jobs
    • IAM and Secrets Manager for role-based access and credential management
    • CloudWatch for logging, metrics, and alerting
    • Lambda for serverless utilities
    • Kinesis and/or Kafka/MSK for streaming ingestion
  • Enforce data quality, lineage, and governance using Unity Catalog and/or Glue Catalog; embed expectations and validation into pipelines.
  • Drive Spark performance engineering: partitioning strategies, file sizing, AQE, broadcast joins, shuffle tuning, caching, spill/memory control, and job right-sizing to optimize cost.
  • Build reusable libraries, frameworks, and APIs in Python and/or Java; oversee unit, integration, and data validation testing.
  • Implement CI/CD for data projects (Git-based workflows), Terraform Infrastructure deployments environment promotion, and automated deployments; champion engineering standards and code reviews.
  • Partner with platform security and networking teams to enforce encryption, network controls, and least-privilege access; ensure compliance with organizational policies.
  • Lead incident response and root-cause analysis; establish SLAs, observability, and runbooks; drive continuous improvement in reliability and cost efficiency.
  • Partner with platform security and networking teams to enforce encryption, network controls, and least-privilege access; ensure compliance with organizational policies.
  • Lead incident response and root-cause analysis; establish SLAs, observability, and runbooks; drive continuous improvement in reliability and cost efficiency.

Required qualifications, capabilities, and skills:
  • Formal training or certification on software engineering concepts and 5+ years applied experience.
  • 10+ years of professional software/data engineering experience, including substantial production work with Spark on Databricks or EMR.
  • Strong proficiency in Python and/or Java for data processing, platform tooling, and automation.
  • Hands-on Databricks expertise (Delta Lake, Unity Catalog, Workflows, Repos/notebooks, SQL Warehouses).
  • Solid AWS experience: S3, IAM, Glue, CloudWatch, Kinesis / MSK, DynamoDB
  • Proven track record architecting and operating ETL/ELT pipelines (batch and streaming), with schema design/evolution, SLAs, and reliability engineering.
  • Deep skills in Spark performance tuning and Databricks cluster setup/optimization.
  • Strong SQL and analytics data modeling (dimensional/star schema; lakehouse best practices).
  • Security-first mindset: roles/instance profiles, secret management, encryption-at-rest/in-transit, and network controls.
  • Demonstrated leadership in code quality, reviews, testing strategy, CI/CD, and technical mentorship; excellent communication with stakeholders.

Preferred qualifications, capabilities, and skills:
  • Experience with Delta Live Tables and advanced governance (catalogs, grants, auditing) in Databricks.
  • AWS networking knowledge (VPC, subnets, routing, security groups) and data egress controls.
  • Experience with Terraform for Infra deployments
  • Cost optimization experience: autoscaling strategies, spot vs on-demand, auto-termination, storage layouts and compaction.
  • Familiarity with Kafka/MSK or Kinesis Data Streams/Firehose for real-time ingestion.
  • CI/CD and automation tooling for data (Git workflows, artifact management) and testing frameworks (pytest, JUnit).
  • Observability for data systems (freshness/completeness metrics, lineage, SLAs, alerting).
  • Experience in financial services or other regulated industries.

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 Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.

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