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Manager Data Engineering Jobs in Prosper, TX (NOW HIRING)

Sr. Pyspark Data Engineer

Irving, TX · On-site

$109K - $132K/yr

... engineering solutions. You will work closely with data analysts, data scientists, and software ... Deploy and manage data workflows in cloud platforms (AWS, Azure, GCP). * Utilize SQL and NoSQL ...

Proven experience delivering end-to-end analytics and data engineering solutions, including data ... judgment, effectively manage stress and work safely and respectfully with others, exhibit ...

... engineering, information systems, or a related quantitative field. · 8+ years of overall ... data management/entity management, data quality, data warehousing, analytics (prescriptive ...

Data Engineer

Dallas, TX · On-site

$105K - $120K/yr

... engineering activities. • Ensure compliance with security, governance, and data management standards. Required Technical Skills Data Platform • Snowflake • dbt (Core / Cloud) • Fivetran • ...

Data Services Engineer SR

Dallas, TX · On-site +1

$113K - $136K/yr

Cloud & Database Engineering: * Architect and implement data solutions on cloud platforms (e.g., AWS, Azure, or GCP), leveraging managed services for storage, compute, and orchestration. * Design ...

Data Engineer

Dallas, TX · On-site

$105K - $120K/yr

... engineering solutions. • Ensure compliance with security, governance, and data management standards. Cloud Technologies • AWS (Preferred) • S3 • Lambda • Cloud-native Data Services Data ...

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

... manage data platforms on Databricks and/or Snowflake • Write clean, efficient, and production ... Required : • 2-5 years of experience in Data Engineering or related roles • Strong hands-on ...

This role involves developing end-to-end data pipelines, managing data lakes and lakehouse ... Snowflake engineering: Design and implement Snowflake objects and pipelines to support analytics ...

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

Contribute to data architecture, governance, naming standards, documentation, and reusable engineering patterns. Use Azure DevOps, Git, branching strategies, and CI/CD practices to manage source ...

This role involves developing end-to-end data pipelines, managing data lakes and lakehouse ... Snowflake engineering: Design and implement Snowflake objects and pipelines to support analytics ...

Lead Data Engineer

Plano, TX · On-site

$107K - $128K/yr

As a Lead Data Engineering at JPMorgan Chase within the Consumer and Community Banking team, you ... Manage data sharing, exchange, and ecosystem-specific features. Required Qualifications ...

Lead Data Engineer

Plano, TX · On-site

$107K - $128K/yr

As a Lead Data Engineering at JPMorgan Chase within the Consumer and Community Banking team, you ... Manage data sharing, exchange, and ecosystem-specific features. Required Qualifications ...

Lead Data Engineer

Plano, TX

$109K - $131K/yr

As a Lead Data Engineering at JPMorgan Chase within the Consumer and Community Banking team, you ... Manage data sharing, exchange, and ecosystem-specific features. Required Qualifications ...

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

... manage data platforms on Databricks and/or Snowflake • Write clean, efficient, and production ... Required : • 2-5 years of experience in Data Engineering or related roles • Strong hands-on ...

This role involves developing end-to-end data pipelines, managing data lakes and lakehouse ... Snowflake engineering: Design and implement Snowflake objects and pipelines to support analytics ...

Data Engineer

Lewisville, TX · On-site

$75K - $93K/yr

Use Dagster to schedule, monitor, and manage workflows, ensuring errors are caught early ... Experience: 1-3 years in data engineering, analytics engineering, or a data-heavy technical role.

Manager, Data Analytics

Dallas, TX · Hybrid

$111K - $145K/yr

Partner with engineering and data teams to find solutions to data issues within a complex system ... with experience managing issues externally * 2+ years demonstrated ability to work with large ...

Showing results 41-60

Manager Data Engineering information

See Prosper, TX salary details

$28.4K

$89K

$157.5K

How much do manager data engineering jobs pay per year?

As of Aug 16, 2026, the average yearly pay for manager data engineering in Prosper, TX is $88,964.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,400.00 and $114,900.00 per year, depending on experience, location, and employer.

What is the difference between Manager Data Engineering vs Data Engineer?

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

What are the key skills and qualifications needed to thrive as a manager data engineering?

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

What are the roles and responsibilities of a manager data engineering?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

How does a manager data engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.

What are the most commonly searched types of Data Engineering jobs in Prosper, TX?

The most popular types of Data Engineering jobs in Prosper, TX are:

What are popular job titles related to Manager Data Engineering jobs in Prosper, TX?

For Manager Data Engineering jobs in Prosper, TX, the most frequently searched job titles are:

What job categories do people searching Manager Data Engineering jobs in Prosper, TX look for?

The top searched job categories for Manager Data Engineering jobs in Prosper, TX are:

What cities near Prosper, TX are hiring for Manager Data Engineering jobs?

Cities near Prosper, TX with the most Manager Data Engineering job openings:

Infographic showing various Manager Data Engineering job openings in Prosper, TX as of July 2026, with employment types broken down into 84% Full Time, 14% Part Time, 1% Temporary, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $88,964 per year, or $42.8 per hour.

Sr. Pyspark Data Engineer

Sarian, Inc.

Irving, TX • On-site

$109K - $132K/yr

Full-time

Re-posted 20 days ago


Job description

Role: Sr. PySpark Data Engineer - Fulltime
Location: Irving, TX
Job Description:
We are seeking a skilled PySpark Data Engineer to join our team. The ideal candidate will have expertise in big data processing, ETL pipeline development, and cloud-based data engineering solutions. You will work closely with data analysts, data scientists, and software engineers to design, develop, and optimize scalable data processing solutions using PySpark, Apache Spark, and other big data technologies.
Key Responsibilities:
  • Develop, optimize, and maintain ETL pipelines using PySpark and Apache Spark.
  • Design and implement big data solutions for processing large datasets efficiently.
  • Work with structured and unstructured data sources to transform, clean, and enrich data.
  • Optimize Spark jobs for performance tuning and cost efficiency.
  • Collaborate with data scientists and analysts to ensure smooth data integration and availability.
  • Implement data quality checks, validation, and governance best practices.
  • Deploy and manage data workflows in cloud platforms (AWS, Azure, GCP).
  • Utilize SQL and NoSQL databases for data storage and retrieval.
  • Automate data ingestion and transformation processes.
  • Work in an Agile environment, actively participating in sprint planning and reviews.
  • Troubleshoot and resolve performance and scalability issues.

Required Skills & Qualifications:
  • Extensive years of experience in Big Data Engineering with a focus on PySpark and Apache Spark.
  • Strong knowledge of Python and distributed computing frameworks.
  • Experience working with Hadoop, Hive, HDFS, Kafka, and other big data technologies.
  • Proficiency in SQL, NoSQL, and relational databases (PostgreSQL, MySQL, Cassandra, MongoDB, etc.).
  • Experience with cloud platforms (AWS, Azure, or GCP) and services like S3, EMR, Databricks, Glue, or Big Query.
  • Knowledge of data warehousing concepts and ETL development.
  • Hands-on experience with CI/CD pipelines, Docker, and Kubernetes is a plus.
  • Strong problem-solving and analytical skills with attention to detail.
  • Excellent communication and teamwork skills.

Muralikrishna
Sarian Solutions, Inc.
Ph: +1 732-790-2266 X 201
murali.k@sariansolutions.com | https://www.sarianinc.com/