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Senior Data Engineer Python Jobs in Texas City, TX

Senior Data Engineer

Texas City, TX · On-site

$90K - $123K/yr

Senior Data Engineer Experience: 12+ Years Job Type: W2 Contract Job Summary We are seeking a ... The ideal candidate will have strong hands-on expertise in Python, SQL, Spark, Databricks, cloud ...

Guidehouse seeks a Senior Data Engineer to design, develop, and optimize modern data platforms ... Develop and maintain data engineering solutions using Python, SQL, Spark, and related technologies.

Guidehouse seeks a Senior Data Engineer to design, develop, and optimize modern data platforms ... Develop and maintain data engineering solutions using Python, SQL, Spark, and related technologies.

JB061810 - Senior Data Engineer - 1707

Houston, TX · On-site

$101K - $137K/yr

Senior Data Engineer Location: Houston, Texas 77002 Duration: 06 Months Contract Job Summary Our ... Hands-on experience with Databricks, Spark, SQL, and Python. * Experience with Azure Data Factory ...

Senior Data Engineer

Houston, TX · Hybrid

$101K - $137K/yr

Python, PySpark, Spark SQL, SQL Server * Azure (ADF, ADLS Gen2, Key Vault, Azure Monitor ... As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate ...

Job Title Senior Data Engineer Location Atlanta, Boston, Charlotte, Chicago, Dallas, Houston, Los Angeles, New York Regular/Temporary Regular Summary We have an opening for a Senior Data Engineer.

Senior Data Engineer - Software Note: Position is not eligible for visa sponsorship. At WhiteWater ... Design and develop full‑stack applications using Python, PHP, Node.js, JavaScript. * Build and ...

Senior Data Analyst

Texas City, TX · On-site

$73K - $92K/yr

Work with data engineering teams to understand and validate ETL/ELT pipelines and data sources ... Build automated reporting and analytical solutions using Python, SQL, and BI tools . * Perform data ...

Data Engineer

Houston, TX

$109K - $131K/yr

This is a senior, hands-on engineering role responsible for designing, developing, and optimizing ... Expert-level Python and SQL development Experience designing and building scalable ETL/ELT data ...

Senior Software Engineer, Python

Houston, TX · On-site +1

$116K - $156K/yr

By streamlining data integration and enhancing collaboration, we help operators, engineers, and ... We're hiring a Senior Software Engineer to join our Economics Team. You'll help design, build and ...

This Role is located in Houston, TX - In office 5x a week We are looking for a talented and motivated Python Data Engineer to help us expand our data assets in support of our analytical capabilities ...

This Role is located in Houston, TX - In office 5x a week We are looking for a talented and motivated Python Data Engineer to help us expand our data assets in support of our analytical capabilities ...

Senior Software Engineer, Python

Houston, TX · On-site +1

$117K - $154K/yr

By streamlining data integration and enhancing collaboration, we help operators, engineers, and ... We're hiring a Senior Software Engineer to join our Platform Team. You'll help design and build the ...

Sr. Data Engineer-Azure Databricks

Houston, TX · On-site

$109K - $131K/yr

Job Title: Sr. Data Engineer Location: Houston, TX Length: 6-10 months Job Summary We are seeking a skilled Data Engineer with extensive, hands-on expertise in Azure Databricks to design, develop ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

A Senior Data Engineer to help design, build, and scale a modern cloud data platform centered on ... Strong SQL skills and experience with Python or another data engineering language. * Ability to ...

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Senior Data Engineer Python information

See Texas City, TX salary details

$69.3K

$108.1K

$149.8K

How much do senior data engineer python jobs pay per year?

As of Aug 26, 2026, the average yearly pay for senior data engineer python in Texas City, TX is $108,106.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,700.00 and $123,200.00 per year, depending on experience, location, and employer.

What does a senior data engineer python do?

A Senior Data Engineer Python is responsible for designing, building, and maintaining complex data pipelines and architectures using Python as a primary programming language. They work with large datasets, ensuring data is collected, stored, and processed efficiently to support analytics and business intelligence. Their role often includes optimizing data workflows, collaborating with data scientists, and implementing data quality and security best practices. Senior Data Engineers also mentor junior team members and may help define data engineering strategies for their organization.

What are the key skills and qualifications needed to thrive as a senior data engineer python?

To thrive as a Senior Data Engineer Python, you need deep expertise in Python programming, data modeling, and ETL pipeline design, often supported by a degree in computer science or a related field. Familiarity with big data frameworks (such as Spark or Hadoop), cloud platforms (like AWS, GCP, or Azure), and relevant certifications are highly valued. Strong problem-solving, communication, and leadership skills enable effective collaboration and project delivery in cross-functional teams. These competencies are crucial for building robust, scalable data solutions that drive business insights and operational efficiency.

How does a senior data engineer python typically collaborate with data scientists and other engineering teams?

A Senior Data Engineer working with Python often plays a central role in bridging the gap between data science and engineering teams. They design and maintain robust data pipelines that ensure clean, reliable data is available for analytics and machine learning projects. Collaboration involves frequent communication with data scientists to understand data requirements and with software engineers to integrate data solutions into production systems. This multidisciplinary teamwork helps streamline project workflows and drives the development of scalable data solutions across the organization.

What is the difference between Senior Data Engineer Python vs Data Engineer Python?

AspectSenior Data Engineer PythonData Engineer Python
Required Experience5+ years, leadership skills1-3 years, foundational skills
ResponsibilitiesDesigning architecture, mentoring, complex data pipelinesBuilding data pipelines, data collection, basic ETL tasks
CertificationsRelevant certifications (e.g., AWS, GCP)Entry-level certifications preferred
Work EnvironmentCross-functional teams, project leadershipData teams, development environment

Senior Data Engineer Python roles typically require more experience, leadership, and complex project responsibilities compared to Data Engineer Python roles, which focus on building and maintaining data pipelines with less emphasis on leadership.

What are popular job titles related to Senior Data Engineer Python jobs in Texas City, TX?

For Senior Data Engineer Python jobs in Texas City, TX, the most frequently searched job titles are:

What job categories do people searching Senior Data Engineer Python jobs in Texas City, TX look for?

The top searched job categories for Senior Data Engineer Python jobs in Texas City, TX are:

What cities near Texas City, TX are hiring for Senior Data Engineer Python jobs?

Cities near Texas City, TX with the most Senior Data Engineer Python job openings:

Senior Data Engineer

Raas Infotek LLC

Texas City, TX • On-site

$90K - $123K/yr

Other

Posted 7 days ago


Job description

Senior Data Engineer – Job DescriptionJob Title: Senior Data Engineer
Experience: 12+ Years
Job Type: W2 Contract Job Summary

We are seeking a highly experienced Senior Data Engineer with 12+ years of experience in designing, developing, and maintaining scalable data platforms and data pipelines. The ideal candidate will have strong hands-on expertise in Python, SQL, Spark, Databricks, cloud technologies, ETL/ELT, data warehousing, and data integration.

Responsibilities
  • Design, develop, and maintain scalable ETL/ELT data pipelines for enterprise applications.
  • Develop complex data transformation and processing workflows using Python, SQL, and Apache Spark.
  • Build and optimize data pipelines using Databricks and PySpark.
  • Design and implement data solutions on AWS, Azure, or Google Cloud Platform cloud platforms.
  • Develop data ingestion processes from databases, APIs, files, and other structured/unstructured sources.
  • Implement data quality, validation, reconciliation, and monitoring processes.
  • Design and optimize data warehouses, data lakes, and lakehouse architectures.
  • Work with relational and NoSQL databases to support data engineering requirements.
  • Perform performance tuning and optimization of SQL queries, Spark jobs, and data pipelines.
  • Implement orchestration using Apache Airflow, Azure Data Factory, AWS Glue, or similar tools.
  • Develop reusable frameworks and components for data ingestion and transformation.
  • Integrate data engineering solutions with CI/CD pipelines and DevOps processes.
  • Implement data security, access controls, encryption, and governance best practices.
  • Troubleshoot production data pipelines and resolve data processing issues.
  • Collaborate with data architects, analysts, data scientists, application developers, and business stakeholders.
  • Participate in Agile/Scrum ceremonies and contribute to technical design and architecture discussions.
  • Mentor junior and mid-level data engineers and provide technical guidance.
Required Skills
  • 12+ years of experience in Data Engineering, ETL, or related data technologies.
  • Strong hands-on experience with Python and SQL.
  • Extensive experience with Apache Spark / PySpark.
  • Strong experience with Databricks and Delta Lake.
  • Experience building enterprise-scale ETL/ELT pipelines.
  • Strong knowledge of data warehousing concepts, dimensional modeling, and data lake architectures.
  • Experience with one or more cloud platforms: AWS, Azure, or Google Cloud Platform.
  • Experience with databases such as SQL Server, Oracle, PostgreSQL, MySQL, Snowflake, or similar.
  • Experience with workflow orchestration tools such as Airflow, Azure Data Factory, AWS Glue, or similar.
  • Strong understanding of batch and near-real-time data processing.
  • Experience with Git, CI/CD, Jenkins, Azure DevOps, or GitHub Actions.
  • Strong understanding of data quality, data validation, and performance optimization.
  • Excellent analytical, troubleshooting, and communication skills.
Preferred Skills
  • Experience with Azure Data Lake, AWS S3, ADLS, or Google Cloud Storage.
  • Experience with Snowflake or other modern cloud data warehouses.
  • Knowledge of Kafka, Event Hubs, or other streaming technologies.
  • Experience with Terraform or Infrastructure as Code.
  • Knowledge of Docker and Kubernetes.
  • Experience implementing data governance, metadata management, and lineage.
  • Experience working with large-scale distributed data environments.
  • Knowledge of Medallion Architecture (Bronze, Silver, Gold).
  • Experience with real-time/streaming data pipelines.
  • Experience in designing highly available and fault-tolerant data platforms.