Spring, TX

Data Jobs in Spring, TX

2 jobs found

Include remote jobs

24d ago

Data Engineer

INSPYR Solutions Spring, TX

Spring, TX

24d ago

$70 - $85/hr Contract Analytics Azure Azure Data Factory

Apply Now

Job Description

We are seeking a Data Engineer for a contract role with INSPYR Solutions, based onsite in Spring, TX. The position focuses on designing scalable data models and Azure-based pipelines to enable organization-wide analytics and business intelligence. The assignment requires onsite work in Spring, TX, three days per week.

Job Details

Location: Spring, TX (onsite)
Job Type: Contract
Salary: USD 70 - 85 per hour
Required Experience: 5 years minimum

Responsibilities

Design and maintain dimensional data models and semantic layers to support enterprise reporting and analytics, applying data warehousing and architecture best practices.
Develop scalable, modular ETL and ELT pipelines using Azure Data Factory, Synapse Pipelines, and Databricks.
Transform raw data into analytics-ready structures with Spark SQL, DBT, and Azure Synapse; implement data quality checks and schema evolution strategies.
Leverage Azure services including SQL Server, Synapse Analytics, Databricks, and Delta Lake to build and manage scalable data infrastructure and pipelines.
Integrate data workflows with Azure DevOps and Git for version control, automated testing, and continuous deployment.
Collaborate with analysts and BI developers to ensure data models support reporting and visualization in tools such as Power BI.
Monitor data pipelines and models, troubleshoot issues, and optimize for high availability and performance.
Continuously adopt and apply current data engineering practices, tools, and technologies.

Requirements

5 to 7 years of experience in data engineering or related roles.
Proven expertise in data modeling, particularly dimensional modeling, and data warehouse design.
Hands-on experience with Azure Data Factory, Synapse Analytics, Databricks, and DBT.
Strong SQL and Spark SQL skills.
Experience with CI/CD, DevOps, and version control systems such as Git and Azure DevOps.
Familiarity with Power BI or similar visualization tools.
Solid understanding of data integration, data quality, and data transformation best practices.
Demonstrated problem-solving ability and a collaborative mindset.

Technologies

Azure Data Factory
Azure Synapse Analytics
Databricks
DBT
Spark SQL
SQL Server
Delta Lake
Power BI
Azure DevOps
Git

Benefits

Comprehensive medical benefits
Competitive pay with a 401(k) plan
Retirement plan
Additional benefits available

View full job page →

1mo ago

Data Engineer

Information Technology Senior Management Forum Spring, TX

Spring, TX

1mo ago Closed

$131k - $205k/yr Full time Azure Big Data Bigdata

This position is no longer accepting applications (closed Jul 26, 2026).

Job Description

The Data Engineer role at Information Technology Senior Management Forum is an onsite position in Spring, TX focused on data collection, quality, governance, and supporting machine learning models. The role leads data engineering efforts to design, build, and maintain secure, scalable data solutions while fostering cross-team collaboration and mentoring staff to enhance data-driven decision making.

Summary

The Data Engineer is responsible for data collection, data quality, governance, and enabling machine learning initiatives, while steering data engineering efforts to create and sustain secure, scalable data platforms. The role emphasises cross-functional collaboration and professional development to strengthen data‑driven decision making across the organization.

Responsibilities

Guides one or more project teams of data engineers through all design and development phases for complex, secure, high‑performing data solutions and models, covering design, analysis, coding, testing, and integration of structured and unstructured data.
Evaluates designs and project activities for adherence to architecture, security, and quality standards, delivering actionable feedback to improve product quality and reduce failure risk.
Provides domain expertise and overall leadership for data systems across cross‑organization projects, programs, and activities.
Champions innovation and the adoption of new technologies within big data projects and initiatives.
Collaborates with project teams to communicate progress and resolve issues effectively.
Represent the data engineering team across phases of larger and more complex development efforts.
Supports coaching and training of business analytics solution users to enhance decision-making capabilities.
Maintains data integrity by monitoring data changes and executing mass updates as needed.
Builds and sustains relationships across the organization to support data initiatives.
Provides guidance and mentorship to less experienced staff members.

Requirements

Bachelor's or advanced degree in Computer Science, Information Technology, Software Engineering, Statistics/Mathematics, or related discipline, or equivalent work experience or demonstrated competence.
Typically 7 to 10 years of work experience, preferably in data analytics, data engineering, data modeling, or a related field.
Certification in programming languages such as SQL, Python, or similar.
Experience applying Agile methodologies.
Proficiency with Amazon Web Services and Microsoft Azure.
Knowledge of Apache Hadoop, Apache Kafka, and Apache Spark.
Familiarity with big data concepts and data analysis, data engineering, data modeling, data pipelines, and data warehousing.
Experience with Extract, Transform, Load (ETL) processes and Java, Python, or Scala programming.
Exposure to machine learning concepts and practical implementation.
Strong communication skills, results orientation, learning agility, digital fluency, and customer centricity.

Technologies

Amazon Web Services
Apache Hadoop
Apache Kafka
Apache Spark
Microsoft Azure
Python
Java
Scala
SQL

Benefits

Health insurance
Dental insurance
Vision insurance
Long term and short term disability insurance
Employee assistance program
Flexible spending account
Life insurance
Generous time off policies, including 4 to 12 weeks fully paid parental leave based on tenure
11 paid holidays
Additional flexible paid vacation and sick leave

Salary

USD 130,700 - 205,200 per year

Type

Full-time

Schedule

Full time

Shift

No shift premium (United States of America)

Location

Spring, TX onsite

View full job page →

Data Jobs in Spring, TX

Data Engineer

Data Engineer

Get Data Jobs in Spring, TX alerts