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Data Engineering Jobs in Spring, TX (NOW HIRING)

Pacer Group

Senior Engineer, Data

Houston, TX · On-site

$109.30K - $131.30K/yr

Key Responsibilities Data Engineering & Pipeline Development * Design and develop scalable ETL/ELT pipelines using AWS services and modern data engineering practices. * Build and optimize data ...

EOG Resources, Inc.

Sr. Data Engineer

Houston, TX · On-site

$109.30K - $131.20K/yr

Maintain and manage the data flow pipeline between ERP DB2 database and other data stores such as ... Bachelor's Degree in Computer Science, Computer Engineering, Computer Information Systems ...

Dlapiper

Data Engineer

Houston, TX

$109.30K - $131.30K/yr

In current initiatives, data engineering includes consolidating data from multiple sources into a central SQL-based integration point and performing field mapping and transformations, so solution ...

Foxconn Industrial Internet - FII

Data Engineer

Houston, TX · On-site

$109.30K - $131.30K/yr

Native speaking in Chinese Mandarin with ability to read the language and work in a professional setting. * 3+ years of experience in data engineering, such as data warehousing and ETL pipeline ...

Foxconn Technology Group

Data Engineer

Houston, TX · On-site

$109.30K - $131.30K/yr

Native speaking in Chinese Mandarin with ability to read the language and work in a professional setting. * 3+ years of experience in data engineering, such as data warehousing and ETL pipeline ...

EOG Resources, Inc.

Sr. Data Engineer

Houston, TX · On-site

$109.30K - $131.20K/yr

Maintain and manage the data flow pipeline between ERP DB2 database and other data stores such as ... Bachelor's Degree in Computer Science, Computer Engineering, Computer Information Systems ...

Foxconn Assembly LLC

Data Engineer

Houston, TX · On-site

$109.30K - $131.30K/yr

Native speaking in Chinese Mandarin with ability to read the language and work in a professional setting. * 3+ years of experience in data engineering, such as data warehousing and ETL pipeline ...

Kanak Elite Services Inc

Data Engineer

Houston, TX · On-site

$109.30K - $131.30K/yr

DATA ENGINEER III CONTRACT LENGTH: 6 - 12 MONTH CONTRACT, LOOKING TO THEN CONVERT ONSITE 5 DAYS A ... Strong Python engineering skills and familiarity with software design principles and patterns (e.g ...

Deloitte

Sr Databricks Data Engineer

Houston, TX · On-site

$109.30K - $131.20K/yr

Required : • Bachelor's degree in Computer Science, Engineering, or a related field and 1+ years of experience leading cross-functional data engineering projects or technical teams • 5+ years of ...

Foxconn Industrial Internet - FII

Data Engineer

Houston, TX · On-site

$109.30K - $131.30K/yr

Native speaking in Chinese Mandarin with ability to read the language and work in a professional setting. * 3+ years of experience in data engineering, such as data warehousing and ETL pipeline ...

Software Technology Inc

Trade Floor Data Engineer

Houston, TX · On-site

$109.30K - $131.30K/yr

Research, develop, document, and modify Data Engineering processes and jobs per data architecture and modeling requirements. Collaborate with Data Analytics team members such as Data Strategists and ...

eTeam

ADF Data Engineer

Houston, TX · On-site

$109.30K - $131.20K/yr

Required : • Experience: 5-8 years in data engineering with at least 3 years on Azure. • Mandatory skills: ADF, Azure Databricks, Python, SQL. • Azure Data Factory: Pipelines, data flows ...

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$40.9K

$146.8K

$216.7K

How much do data engineering jobs pay per year?

As of May 28, 2026, the average yearly pay for data engineering in Spring, TX is $146,848.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,800.00 and $151,300.00 per year, depending on experience, location, and employer.

What is a Data Engineering job?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

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

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the typical daily responsibilities of a Data Engineer?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.
More about Data Engineering jobs
What are the most commonly searched types of Data Engineering jobs in Spring, TX? The most popular types of Data Engineering jobs in Spring, TX are:
What are popular job titles related to Data Engineering jobs in Spring, TX? For Data Engineering jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Data Engineering jobs in Spring, TX look for? The top searched job categories for Data Engineering jobs in Spring, TX are:
What cities near Spring, TX are hiring for Data Engineering jobs? Cities near Spring, TX with the most Data Engineering job openings:
Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Spring, TX as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $146,848 per year, or $70.6 per hour.
Senior Engineer, Data

Senior Engineer, Data

Pacer Group

Houston, TX • On-site

$109.30K - $131.30K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Pre ID for Sundaram Manickam
XXXX: XXXX
Job Summary
We are seeking an experienced Senior Data Engineer to design, build, optimize, and maintain scalable cloud-based data platforms and pipelines. The ideal candidate will have strong expertise in Snowflake, AWS Glue, cloud-native ETL/ELT architectures, and enterprise data warehousing solutions. This role will collaborate closely with business stakeholders, analytics teams, data architects, and application teams to deliver reliable, high-performance data solutions supporting analytics, reporting, AI/ML, and operational systems.
Key Responsibilities
Data Engineering & Pipeline Development
  • Design and develop scalable ETL/ELT pipelines using AWS services and modern data engineering practices.
  • Build and optimize data ingestion frameworks using AWS Glue, Spark, Python, SQL, and cloud-native services.
  • Develop robust batch and near real-time data pipelines from multiple structured and unstructured sources.
  • Implement metadata-driven and reusable pipeline frameworks.
Snowflake Data Warehouse Development
  • Design and maintain enterprise-grade Snowflake data warehouse solutions.
  • Create optimized schemas, tables, views, tasks, streams, and stored procedures in Snowflake.
  • Implement Snowflake best practices for:
    • Performance tuning
    • Clustering
    • Data sharing
    • Security and governance
    • Cost optimization
  • Support large-scale data transformations using Snowflake ELT patterns.
Cloud & AWS Expertise
  • Work extensively with AWS services including:
    • AWS Glue
    • S3
    • Lambda
    • IAM
    • CloudWatch
    • Step Functions
    • Redshift (optional)
    • SNS/SQS
  • Automate deployment and infrastructure using Infrastructure-as-Code tools such as Terraform or CloudFormation.
Data Modeling & Architecture
  • Design dimensional and normalized data models for enterprise analytics.
  • Support master data management and data governance initiatives.
  • Ensure high data quality, lineage, consistency, and reliability across platforms.
Performance & Optimization
  • Tune SQL queries, Spark jobs, and Snowflake workloads for performance and scalability.
  • Monitor and troubleshoot production data pipelines and resolve data issues proactively.
  • Optimize AWS Glue jobs and Snowflake warehouse utilization to reduce operational costs.
Collaboration & Leadership
  • Work closely with Data Architects, BI teams, Data Scientists, and business stakeholders.
  • Participate in architecture discussions, sprint planning, code reviews, and release management.
  • Mentor junior data engineers and promote engineering best practices.
  • Drive adoption of DevOps and CI/CD practices for data engineering solutions.
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
  • 7+ years of experience in Data Engineering or Data Warehouse development.
  • 3+ years of hands-on experience with Snowflake.
  • Strong expertise with Amazon Web Services services, especially AWS Glue and S3.
  • Advanced SQL development and query optimization skills.
  • Strong programming skills in Python and/or PySpark.
  • Experience building scalable cloud data pipelines and enterprise data warehouses.
  • Experience with Git-based version control and CI/CD pipelines.
  • Strong understanding of data modeling concepts and ETL/ELT architecture.
Preferred Qualifications
  • Experience with:
    • DBT
    • Airflow
    • Kafka
    • Terraform
    • Databricks
    • Redshift
    • Synapse
  • Experience in Agile/Scrum delivery environments.
  • Knowledge of data governance, security, and compliance frameworks.
  • Snowflake or AWS certifications preferred.
Technical Skills
Category Skills Cloud AWS, S3, Glue, Lambda, IAM, CloudWatch Data Warehouse Snowflake, Redshift, Synapse Programming Python, PySpark, SQL ETL/ELT AWS Glue, DBT, Airflow Databases SQL Server, Oracle, PostgreSQL DevOps GitHub, Jenkins, CI/CD Big Data Spark, Hadoop (preferred) Reporting/Analytics Power BI, Tableau (preferred)
Soft Skills
  • Strong analytical and problem-solving skills
  • Excellent communication and stakeholder management
  • Ability to lead technical discussions and mentor teams
  • Strong project ownership and delivery mindset
  • Ability to work in fast-paced enterprise environments
Nice-to-Have Domain Experience
  • Customer data platforms
  • Marketing analytics
  • Digital transformation initiatives
  • Enterprise master data management
  • Large-scale cloud migration projects

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