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Junior Data Engineer Jobs in Spring, TX (NOW HIRING)

NAVA Software Solutions

Principal Data Engineer

Houston, TX · On-site

$106K - $127K/yr

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 ...

Corva

Jr. Completions Data Analyst

Houston, TX · On-site

We are seeking Completions Jr. Data Analysts located in Houston to provide part of the 24/7 ... Four-year college degree (petroleum engineering, geology, geoscience, any engineering preferred)

LiteBridge

Data Engineer (Junior)

Houston, TX · Remote

LiteBridge connects talented data engineers with global opportunities by training them in Palantir Foundry and deploying them to leading companies in North America and Europe. We are building a ...

Paul Hastings

Senior Data Engineer

Houston, TX

$194K/yr

Mentor junior data engineers and promote best practices in CI/CD, version control, and release management. Proficiencies: * Advanced proficiency inAzure Data Factory,Azure Data Lake Storage (Gen2 ...

Alliance Technical Group

SR Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Mentor junior data engineers, providing technical guidance, code reviews, and best practices Required Qualifications * Bachelor's degree in Computer Science, Information Systems, or related field (or ...

Berkley

Junior Data Scientist

Houston, TX · On-site

The role performs exploratory data analysis, feature engineering, data pipeline development, and predictive modeling, working closely with business and technical partners to ensure solutions are ...

Pwc

Data Engineer - Manager

Houston, TX

$99K - $232K/yr

... junior staff. You are accountable for confirming project success and maintaining standards ... data engineering capabilities - Leading teams in the strategic planning and execution of data ...

Berkley

Junior Data Scientist

Houston, TX · On-site

The role performs exploratory data analysis, feature engineering, data pipeline development, and predictive modeling, working closely with business and technical partners to ensure solutions are ...

Berkley

Junior Data Scientist

Houston, TX · On-site

The role performs exploratory data analysis, feature engineering, data pipeline development, and predictive modeling, working closely with business and technical partners to ensure solutions are ...

Beusa Energy Group

Data Engineer III

The Woodlands, TX

$104K - $125K/yr

Experience mentoring junior engineers and providing technical leadership across projects. * Proven ability to work across multiple teams and stakeholders to deliver enterprise data solutions.

NOV, Inc.

Senior Data Scientist

Houston, TX

Manage and mentor interns, junior data scientists and analysts * Translate advanced analytics results into strategic recommendations for VP and C-level leadership * Utilize programming languages such ...

NOV, Inc.

Senior Data Scientist

Houston, TX · On-site

Manage and mentor interns, junior data scientists and analysts * Translate advanced analytics results into strategic recommendations for VP and C-level leadership * Utilize programming languages such ...

Pwc

Data Engineer - Senior Associate

Houston, TX

$77K - $202K/yr

... guiding junior team members - Upholding standards in project deliverables - Building and ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Fracht USA

Senior Data Engineer

Houston, TX · On-site

$91K - $124K/yr

SENIOR DATA ENGINEER The Senior Data Engineer designs, builds, and owns the enterprise data ... junior team members; and responds to stakeholder communications within the same business day.

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All JobsData Engineer JobsJunior Data Engineer JobsJunior Data Engineer Jobs in Spring, TX

Junior Data Engineer information

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$29.8K

$63.9K

$97.4K

How much do junior data engineer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for junior data engineer in Spring, TX is $63,894.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,200.00 and $71,200.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of project success.

What is a Junior Data Engineer job?

A Junior Data Engineer is an entry-level role focused on building and maintaining data pipelines, supporting data integration, and ensuring efficient data flow within an organization. They work with databases, ETL (Extract, Transform, Load) processes, and cloud platforms to help store, process, and analyze data. Junior Data Engineers collaborate with senior engineers and data analysts to optimize data infrastructure and improve performance. They typically have knowledge of SQL, Python, and big data tools like Spark or Hadoop. This role serves as a foundation for advancing into senior data engineering positions.

What do junior data engineers do?

Junior data engineers assist in designing, building, and maintaining data pipelines and databases to ensure data is accessible and reliable for analysis. They often work with tools like SQL, Python, and cloud platforms, and may support data cleaning, integration, and troubleshooting under the supervision of senior engineers.

Will AI replace Data Engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines and infrastructure that require human oversight and expertise. While AI tools can automate certain tasks like data cleaning and analysis, data engineers are essential for managing complex systems, ensuring data quality, and integrating new technologies. Skills in programming, cloud platforms, and data architecture remain critical in this evolving field.

What are some typical responsibilities of a Junior Data Engineer in their day-to-day work?

As a Junior Data Engineer, you will likely spend your days assisting with data pipeline development, performing basic data extraction, transformation, and loading (ETL) tasks, and helping maintain and troubleshoot databases. You may also be responsible for supporting data quality checks, writing simple scripts, and documenting your processes to help senior engineers and data analysts. Collaboration is key, as you'll often work closely with team members to understand project requirements and integrate feedback. This role offers the chance to build technical skills on real-world projects while gaining mentorship from experienced engineers.

Can I make 200K as a Data Engineer?

Senior Data Engineers with extensive experience, advanced skills in tools like Spark and cloud platforms, and certifications can reach or exceed a 200K salary in many regions. Entry-level or junior Data Engineers typically earn lower salaries, with compensation increasing with expertise, location, and industry demand.

What are the key skills and qualifications needed to thrive in the Junior Data Engineer position, and why are they important?

To thrive as a Junior Data Engineer, you need a foundational knowledge of programming (especially Python or SQL), data structures, and database management, often supported by a degree in computer science or a related field. Experience with ETL tools, cloud platforms (like AWS or Azure), and data warehousing solutions, as well as relevant certifications, is highly beneficial. Attention to detail, effective communication, and a collaborative mindset are valuable soft skills that set candidates apart. These skills are crucial for building reliable data pipelines, ensuring data integrity, and working efficiently in data-driven teams.

What are the most commonly searched types of Data Engineer jobs in Spring, TX? The most popular types of Data Engineer jobs in Spring, TX are:
What are popular job titles related to Junior Data Engineer jobs in Spring, TX? For Junior Data Engineer jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Junior Data Engineer jobs in Spring, TX look for? The top searched job categories for Junior Data Engineer jobs in Spring, TX are:
What cities near Spring, TX are hiring for Junior Data Engineer jobs? Cities near Spring, TX with the most Junior Data Engineer job openings:
Junior Data Engineer jobs near you
Infographic showing various Junior Data Engineer job openings in Spring, TX as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $63,894 per year, or $30.7 per hour.
Principal Data Engineer

Principal Data Engineer

NAVA Software Solutions

Houston, TX • On-site

$106K - $127K/yr

Full-time

Re-posted 23 days ago

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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