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Contract Graduate Data Engineer Jobs in Houston, TX

Georgia IT

Software Engineer

Houston, TX · On-site

DOE The contract Software Engineer is a critical member of a cross-functional product team ... Skills: .NET, Android, Application Performance, Cassandra, COBOL, Data Analyst, Data Engineer, Dev ...

ConocoPhillips

Graduate, Engineering 2027

Houston, TX · On-site

Job Summary As an Engineer in ConocoPhillips' Exploration and Production America's Business Unit ... data analytics for optimization • Developing reservoir models, forecasting production After ...

Georgia IT

Commodity Software Engineer

Houston, TX · On-site

Houston, TX (On-site locals only) The contract Software Engineer is a critical member of a cross ... Skills: .NET, Android, Application Performance, Cassandra, COBOL, Data Analyst, Data Engineer, Dev ...

New

XFORIA Inc

Snowflake Architect

Houston, TX · On-site

The Data Engineer will help create trusted, reusable data assets that support applications ... Experience with data observability, lineage tracking, data contracts, and data quality frameworks.

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Showing results 41-60

All JobsContract Graduate Data Engineer JobsContract Graduate Data Engineer Jobs in Houston, TX

Contract Graduate Data Engineer information

See Houston, TX salary details

$42.5K

$123.9K

$169.5K

How much do contract graduate data engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for contract graduate data engineer in Houston, TX is $123,876.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,300.00 and $131,300.00 per year, depending on experience, location, and employer.

What is a contract graduate data engineer?

Contract Graduate Data Engineers are early-career professionals who work on a temporary or project basis to help organizations manage, process, and analyze data. They typically have recently completed a degree in a relevant field, such as computer science, data science, or engineering. Their responsibilities may include building data pipelines, supporting data infrastructure, and working closely with data scientists and analysts. Contract roles allow graduates to gain hands-on experience, develop technical skills, and explore different industries while contributing to data-driven projects.

What are the typical responsibilities and learning opportunities for a contract graduate data engineer?

As a Contract Graduate Data Engineer, you can expect to work on tasks such as building and maintaining data pipelines, cleaning and transforming datasets, and assisting with data integration projects. You will often collaborate closely with data scientists, analysts, and senior engineers, giving you exposure to best practices in data architecture and analytics. The contract nature of the role offers the chance to quickly gain experience across different tools and technologies, which can be valuable for career growth. While you may face challenges adapting to fast-paced project timelines, you'll also benefit from mentorship and hands-on learning opportunities in a supportive team environment.

What are the key skills and qualifications needed to thrive as a contract graduate data engineer, and why are they important?

To thrive as a Contract Graduate Data Engineer, you generally need a degree in computer science, mathematics, or a related field, as well as foundational knowledge in data structures, algorithms, and database management. Familiarity with programming languages like Python or SQL, experience with data processing tools such as Apache Spark, and knowledge of cloud platforms like AWS or Azure are commonly required. Strong problem-solving skills, effective communication, and adaptability are crucial soft skills for collaborating with teams and handling evolving project needs. These skills and qualities ensure accurate data handling, efficient workflow integration, and the ability to deliver valuable insights in dynamic contract-based environments.

What are popular job titles related to Contract Graduate Data Engineer jobs in Houston, TX?

For Contract Graduate Data Engineer jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Contract Graduate Data Engineer jobs in Houston, TX look for?

The top searched job categories for Contract Graduate Data Engineer jobs in Houston, TX are:

What cities near Houston, TX are hiring for Contract Graduate Data Engineer jobs?

Cities near Houston, TX with the most Contract Graduate Data Engineer job openings:

Contract Graduate Data Engineer jobs near you
Infographic showing various Contract Graduate Data Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $123,876 per year, or $59.6 per hour.

Sr Data Tech Lead - Trading and Supply Freight Data Platform

Engineers and Constructors International Inc

Houston, TX • On-site

Contractor

Re-posted 24 days ago

Job description

Join the ECI Group's Professional Technical Services Network as a contract Sr Data Tech Lead - Trading and Supply Freight Data Platform. This is a Houston based contract role with an anticipated 6-month duration with an estimated start date of July 1st. Note: You must be a US Citizen or Permanent US Resident to qualify for this position.
About the Role
As a Data Tech Lead, you will provide end-to-end leadership across architecture, engineering, governance, and capability development.
You will:
  • Deliver sustainable and innovative solutions to unlock value from data.
  • Lead the architecture, Design and implementation of on-premises/cloud-based application development and Data solutions.
  • Engage cross-functional teams to support project stakeholders in delivering data scope and operational excellence.
  • Drive governance, metadata management, Data Modelling, cost optimization, high-volume performance tuning and agility in delivery.
  • Engage effectively with senior leadership, resolve conflicts proactively, and represent the data organization with confidence and clarity.
Key Responsibilities
Leadership & Strategy
  • Drive the architecture, design, and delivery of Data ecosystems for futuristic data platform.
  • Define data product roadmaps and drive development of data solution using approved tech stack and related technologies.
  • Align data engineering initiatives with long-term business and technology strategies.
  • Provide technical leadership to ensure adherence to best practices, standards, and quality expectations.
Technical Oversight
  • Lead data modelling and architecture using tools such as SAP PowerDesigner and WizDesign.
  • Develop and optimize intelligent, AI-augmented data pipelines across ADF, ADLS, Databricks, DLT, and Structured Streaming to enable high-performance data delivery.
  • OLTP schema design, normalization, indexing strategy, Performance tuning for transactional systems
  • Transaction management, concurrency, deadlocks
  • PostgreSQL, MySQL, SQL Server expertise (depending on Shell standards)
  • Optimize Databricks workloads with a strong focus on performance and cost efficiency.
  • Implement robust security, governance, lineage, and metadata controls using Unity Catalog.
  • Troubleshoot pipeline issues, ensure high data quality, and enforce SLA compliance.
Governance & Quality Assurance
  • Establish data governance frameworks covering security, privacy, quality, and lifecycle management.
  • Monitor pipeline performance and lead root cause analysis for data and process issues.
  • Drive CI/CD and touchless change management frameworks to enable seamless deployments.
Stakeholder Management
  • Collaborate closely with PMs, BAs, Data Scientists, Architects, and business stakeholders.
  • Translate complex technical concepts into business terms for executive audiences.
  • Resolve conflicts and ensure alignment across strategic priorities.
  • Stakeholder management & executive communication
Required Skills & Experience
Technical Expertise
  • 12-17 years of experience in data engineering, data architecture, or analytics platforms.
  • Deep expertise in:
    • Azure Data Engineering (ADF, ADLS, Databricks, , DLT), AZURE Function, SQL, REST/FAST API, LogicApps
    • Databricks Delta Live Tables & Structured Streaming
    • Unity Catalog governance and lineage
  • Strong hands-on skills in SQL, Python, Spark/Scala.
  • Strong experience in data modeling, data architecture, and metadata management.
  • CI/CD for application delivery (Azure DevOps/GitHub Actions)
  • Containerization (Docker), Kubernetes basics
  • API gateway, reverse proxies, load balancing
  • Solution Data Architecture, Data Modeling tools like SAP PowerDesigner, BiZ Design
AI & Future-Ready Skills
  • Working knowledge of AI/ML, GenAI, Agentic AI, and applying AI for data engineering automation.
  • Ability to envision and build future-ready, scalable data ecosystems.
Soft Skills / Leadership Competencies
  • Proven ability to lead mid-sized to large technical teams.
  • Strong decision-making capabilities backed by data.
  • Exceptional communication and executive presentation skills.
  • Conflict management and stakeholder alignment experience.
  • High accountability, ownership, and ability to drive independent outcomes.
  • Adaptability and continuous learning mindset.
Nice to Have
  • Experience with Kafka, Hadoop, Spark Streaming.
  • Experience with workflow tools like Airflow, Azkaban, Luigi.
  • Knowledge of PowerBI/QlikSense visualizations.
  • Certifications in Azure Data Engineer, Databricks, AI/ML, or Data Science.
  • Experience with GitHub/Azure DevOps, CI/CD, Agile/Kanban methodologies.
  • Understanding of Freight Domain like Voyage Management, Chartering, Freight Pricing, Demurrage, Laytime, Port calls, Vessel scheduling
  • Integration with RightAngle, Endur, Veson IMOS or internal Shell Freight systems
  • Knowledge of T&S business processes
Please Note: The ECI Group uses AI-assisted tools in the early stages of application review, with all decisions guided by human oversight and fully compliant with General Data Protection Regulation (GDPR) and ECI Group's applicable data protection policies and Privacy Notice.

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