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Contract Databricks Data Engineer Jobs in Texas (NOW HIRING)

NAVA Software Solutions

Principal Data Engineer

Houston, TX · On-site

$106K - $127K/yr

Principal Data Engineer Location: Houston, TX - 4 days/week onsite Duration: Full time / Direct ... Design data solutions on Databricks including Delta Lake, Data Warehouse, Data Mart and others to ...

Futran Tech Solutions Pvt. Ltd.

Azure Data Engineer

Dallas, TX · On-site

$105K - $126K/yr

Databricks Certification Minimum Requirements: Bachelor's degree in Computer Science, Engineering ... or data engineering solutions. 5+ years of data analytics experience using SQL and working with ...

Staffingine LLC

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Contract * This list is intended to reflect the current job but there may be additional essential ... Databricks, etc.) and traditional data warehouse tools Perform multiple aspects involved in the ...

SynergenX

Data Engineer II

Houston, TX · On-site

$130K - $145K/yr

This is an opportunity to work with modern Azure technologies, Databricks, AI-enabled data engineering, and enterprise analytics while helping mentor junior engineers and influence the future ...

CEDENT

Azure Databricks Engineer

Dallas, TX

$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 ...

Addison Group

Senior Data Engineer

Dallas, TX · On-site

$104K - $142K/yr

... Databricks • Skills in Azure Databricks (5+ years) • Experience in cloud-based environment ... Addison Group specializes in filling company's contract, contract-to-hire, or direct hire positions ...

Pwc

Data Engineer - Senior Manager

Dallas, TX

$124K - $280K/yr

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

Programmers.io

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 Python and PySpark/Spark for large-scale data processing • Experience working with Databricks ...

Spar Information Systems

Azure Data Engineer

Frisco, TX · On-site

$107K - $128K/yr

Frisco, TX 3 days onsite in a week Duration: Long term contract Job Summary We are seeking a Senior ... Build data processing workflows in Databricks (PySpark, Delta Live Tables, Unity Catalog, job ...

Pwc

Data Engineer - Senior Manager

Houston, TX · On-site

$124K - $280K/yr

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

Pwc

Data Engineer - Senior Associate

San Antonio, TX · On-site

$77K - $202K/yr

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models, data flow diagrams, and data architecture ...

Pwc

Data Engineer - Senior Associate

Austin, TX · On-site

$77K - $202K/yr

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models, data flow diagrams, and data architecture ...

Pwc

Data Engineer - Senior Manager

Austin, TX · On-site

$124K - $280K/yr

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

PBK

Data Engineer

Austin, TX

$113K - $136K/yr

Build and support API-first data services, data contracts, and integration workflows using REST ... Experience with dbt, Airflow, Databricks Workflows/Jobs, Fabric notebooks, Spark, or similar ...

Pwc

Data Engineer - Senior Manager

Fort Worth, TX · On-site

$124K - $280K/yr

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

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Contract Databricks Data Engineer information

What are some common challenges faced by contract Databricks Data Engineers when integrating data from multiple sources?

As a contract Databricks Data Engineer, you'll often encounter challenges related to integrating diverse data sources, such as on-premises databases, cloud storage, and APIs. These challenges may include handling inconsistent data formats, managing data quality, and ensuring secure data transfers. Additionally, adapting to clients' unique data architectures and optimizing ETL pipelines for performance in a cloud environment are common tasks. Collaboration with data scientists, analysts, and other engineers is critical to ensure data is both accessible and reliable for downstream analytics and machine learning.

What are Contract Databricks Data Engineers?

Contract Databricks Data Engineers are professionals hired on a temporary or project basis to design, build, and maintain data infrastructure using Databricks, a unified analytics platform. They typically work with big data tools, cloud environments, and programming languages like Python or Scala to process and analyze large datasets. Their responsibilities often include developing data pipelines, optimizing data workflows, and collaborating with data scientists and analysts to support business objectives. Because they are contractors, their roles can vary by project and organization, offering flexibility and specialized expertise.

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

To excel as a Contract Databricks Data Engineer, you need strong experience in data engineering, SQL, Spark, and cloud platforms, often supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, Python or Scala, and cloud services like AWS or Azure is typically required, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you work effectively in dynamic, project-based environments. These competencies ensure the efficient design and implementation of scalable data solutions, driving business insights and project success.
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What are popular job titles related to Contract Databricks Data Engineer jobs in Texas? For Contract Databricks Data Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Contract Databricks Data Engineer jobs in Texas look for? The top searched job categories for Contract Databricks Data Engineer jobs in Texas are:
What cities in Texas are hiring for Contract Databricks Data Engineer jobs? Cities in Texas with the most Contract Databricks Data Engineer job openings:
Contract Databricks Data Engineer jobs near you
Infographic showing various Contract Databricks Data Engineer job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 66% Full Time, 17% Part Time, 1% Temporary, 14% Contract, and 1% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.
Principal Data Engineer

Principal Data Engineer

NAVA Software Solutions

Houston, TX • On-site

$106K - $127K/yr

Full-time

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

Job description

NAVA Software solutions is looking for a Principal Data Engineer
Details:
Principal Data Engineer
Location: Houston, TX - 4 days/week onsite
Duration: Full time / Direct Hire
The Principal Data Engineer within the Data Science and Analytics team, plays a crucial role in architecting, implementing, and managing robust, scalable data platforms. This position demands a blend of cloud data engineering, systems engineering, data integration, and machine learning systems knowledge to enhance GST's data capabilities, supporting advanced analytics, machine learning projects, and real-time data processing needs. You will guide other team members and collaborate closely with cross-functional teams to design and implement modern data solutions that enable data-driven decision-making across the organization.
As a Principal Data Engineer you will:
  • Collaborate with Business, and IT functional experts to gather requirements or issues, perform gap analysis and recommend/implement process and/or technology improvements to optimize data solutions.
  • Design data solutions on Databricks including Delta Lake, Data Warehouse, Data Mart and others to support the data science and analytical needs of the organization.
  • Design and implement scalable and reliable data pipelines to ingest, process, and store diverse data at scale, using technologies such as Databricks, Apache Spark, Kafka, Flink, AWS Glue or other AWS services.
  • Work within cloud environments like AWS to leverage services including but not limited to EC2, RDS, S3, Athena, Glue, Lambda, EMR, Kinesis, and SQS for efficient data handling and processing.
  • Develop and optimize data models and storage solutions (SQL, NoSQL, Key-Value DBs, Data Lakes) to support operational and analytical applications, ensuring data quality and accessibility.
  • Utilize ETL tools and frameworks (e.g., Apache Airflow, Talend) to automate data workflows, ensuring efficient data integration and timely availability of data for analytics.
  • Implement pipelines with a high degree of automation for data workflows and deployment pipelines using tools like Apache Airflow, Terraform, and CI/CD frameworks.
  • Collaborate closely with business analysts, data scientists, machine learning engineers, and optimization engineers, providing the data infrastructure and tools needed for complex analytical models, leveraging Python, scala or R for data processing scripts.
  • Ensure compliance with data governance, compliance and security policies, implementing best practices in data encryption, masking, and access controls within a cloud environment.
  • Establish best practices for code documentation, testing, and version control, ensuring consistent and reproductive data engineering practices across the team.
  • Monitor and troubleshoot data pipelines and databases for performance issues, applying tuning techniques to optimize data access and throughput.
  • Ensure efficient usage of AWS and Databricks resources to minimize costs while maintaining high performance and scalability.
  • Cross functional work understanding data landscape, developing proof of concepts, and demonstrating to stakeholders.
  • Leads one or more data projects and support with internal and external resources. Coach and mentor junior data engineers.
  • Stay abreast of emerging technologies and methodologies in data engineering, advocating for and implementing improvements to the data ecosystem.

What We Need From You
  • Bachelor's Degree Computer Science, Data Science, MIS, Engineering, Mathematics, Statistics or other quantitative discipline with 5-8 years of hands-on experience in data engineering, with a proven track record in designing and operating large-scale data pipelines and architectures Req
  • Proven experience designing scalable, fault-tolerant data architecture and pipelines on Databricks delta lake, lakehouse, unity catalog, streaming, AWS, ETL/ELT development and data modeling, with a focus on performance optimization and maintainability Required
  • Deep experience of platforms and services like Databricks, and AWS native data offerings Required
  • Solid experience with big data technologies (Databricks, Apache Spark, Kafka) and AWS cloud services related to data processing and storage Required
  • Strong hands-on experience with ETL/ELT pipeline development using AWS tools and Databricks Workflows Required
  • Strong experience in AWS cloud services, with hands-on experience in integrating cloud storage and compute services with Databricks Required
  • Proficient in SQL and programming languages relevant to data engineering (Python, Java, Scala Required
  • Hands on RDBMS and data warehousing experience (data modeling, analysis, programming, stored procedures) Required
  • Good understanding of system architecture and design patterns to design and develop applications using these principles Required
  • Proficiency with version control systems like Git and experience with CI/CD pipelines for automating data engineering deployments Required
  • Familiarity with machine learning model deployment and management practices is a plus Preferred
  • Experience with SAP, BW, HANA, Tableau, or Power BI is a plus Preferred
  • Experience with auto, manufacturing, or supply chain industries is a plus Preferred
  • Project life-cycle leadership and support for requirement workshop, design, development, test cycles and production cutover, post-go live support, and environment strategy. Strong knowledge of agile methodologies Required
  • Strong communication skills, capable of collaborating effectively across technical and non-technical teams in a fast-paced environment. Required
  • AWS Certified Solution Architect Preferred
  • Databricks Certified Associate Developer for Apache Spark Preferred or other relevant certifications. Preferred
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About NAVA Software Solutions

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NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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