2

Remote Data Engineering Apprenticeship Jobs in Texas

Plano -TX -Remote work accepted from anywhere in US Required: Admin skills with Iceberg, not development skills * 10+ years of experience in Big Data / Data Engineering / DBA / Data Operations roles

Data Engineer

Austin, TX · Remote

$113K - $136K/yr

Why You'll Love It Here Flexibility Work that fits your life - with a remote work schedule ... data engineering * Strong experience with Microsoft SQL Server, T-SQL, stored procedures, views ...

Data Transformation Engineer

Addison, TX · On-site +1

$130K - $150K/yr

Flexible work options, including remote and hybrid opportunities, if eligible * Retirement Plan ... in data engineering, continuously improving the team's technical knowledge and skills On-call ...

Sr. Data Engineer

Irving, TX · On-site +1

$114K - $185K/yr

Hybrid position: remote work permitted but must live within commuting distance of designated office ... Writing Extract/Transform/Load (ETL) processes; and Data analytics, data engineering, and data ...

Data Engineer

Irving, TX · On-site +1

$141K - $144K/yr

... engineering problems and develop, build and manage large-scale data structures, pipelines and ... Hybrid position: remote work permitted but must live within commuting distance of designated office ...

Data Engineering owns the pipeline infrastructure, orchestration, deployment mechanisms, and ... Position is remote within US * Minimal travel * Limited physical demands This is an incredible ...

Showing results 41-60

Remote Data Engineering Apprenticeship information

What is a remote data engineering apprenticeship?

A Remote Data Engineering Apprenticeship is a structured training program where individuals learn the fundamentals of data engineering while working remotely. Apprentices typically gain hands-on experience with data pipelines, databases, and tools such as SQL, Python, and cloud services under the supervision of experienced mentors. The goal is to prepare apprentices for a full-time role as a data engineer by exposing them to real-world projects and industry best practices. This type of apprenticeship is ideal for those looking to start a career in data engineering while benefiting from the flexibility of remote work.

What skills and qualifications are needed to thrive as a remote data engineering apprentice?

To excel as a Remote Data Engineering Apprentice, you need a foundational understanding of programming (especially Python or SQL), data modeling, and database management, typically supported by relevant coursework or a degree in computer science or a related field. Familiarity with cloud platforms (like AWS or Google Cloud), ETL tools, and version control systems (such as Git) is often required, and certifications in these areas can be beneficial. Strong problem-solving, communication, and self-motivation are vital soft skills for collaborating virtually and adapting to new challenges. These skills ensure you can effectively contribute to data projects, learn quickly in a remote environment, and support team goals in a rapidly evolving field.

What are common challenges faced by remote data engineering apprentices, and how can they be managed?

Remote data engineering apprentices often encounter challenges such as limited face-to-face mentorship, managing time zones, and ensuring strong communication with team members. To overcome these, it helps to proactively schedule regular check-ins with mentors, set clear daily goals, and utilize collaboration tools like Slack or Jira. Establishing a dedicated workspace and adhering to a structured routine can also foster productivity and help apprentices stay engaged with their projects and team.

What is the difference between Remote Data Engineering Apprenticeship vs Remote Data Engineer?

AspectRemote Data Engineering ApprenticeshipRemote Data Engineer
Required CredentialsTypically entry-level, often requiring basic programming or data fundamentalsUsually requires a bachelor's degree in computer science, data science, or related field, with experience in data tools
Work EnvironmentTraining-focused, often part-time or structured learning programsFull-time remote role with project responsibilities
Employer & Industry UsageUsed by companies to train new talent; common in tech and data-driven industriesHired as a professional to develop and maintain data pipelines and systems

The Remote Data Engineering Apprenticeship is an entry-level training program designed to develop foundational skills in data engineering, often with mentorship and structured learning. In contrast, a Remote Data Engineer is a full-time professional responsible for building and managing data infrastructure. The apprenticeship prepares individuals for a career in data engineering, while the data engineer role involves applying those skills in real-world projects.

What are the most commonly searched types of Data Engineering Apprenticeship jobs in Texas?

The most popular types of Data Engineering Apprenticeship jobs in Texas are:

What are popular job titles related to Remote Data Engineering Apprenticeship jobs in Texas?

For Remote Data Engineering Apprenticeship jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineering Apprenticeship jobs in Texas look for?

The top searched job categories for Remote Data Engineering Apprenticeship jobs in Texas are:

What cities in Texas are hiring for Remote Data Engineering Apprenticeship jobs?

Cities in Texas with the most Remote Data Engineering Apprenticeship job openings:

Big Data Engineer (Iceberg)

3B Staffing LLC

Murphy, TX • Remote

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

L3 - Senior Iceberg DBA / Lakehouse Operations Engineer

100% Remote

Must have : Iceberg DBA

Candidates with 12-month validity

Work location: Plano -TX -Remote work accepted from anywhere in US

Required: Admin skills with Iceberg, not development skills

  • 10+ years of experience in Big Data / Data Engineering / DBA / Data Operations roles
  • Minimum 2+ years of hands-on experience with Apache Iceberg in production environments
  • 6+ years of experience working with Cloudera ecosystem (CDP Ecosystem)
  • Strong expertise in: o Iceberg table optimization (compaction, metadata management, partition evolution) o Multi-engine performance tuning (Spark, Hive, Impala) o Troubleshooting complex data and query performance issues
  • Proven experience handling: o P1/P2 production incidents o Large-scale environments (TB/PB scale) o Data migration initiatives (Hive/Teradata → Iceberg)
  • Lead enforcement of data modeling and Lakehouse standards across applications
  • Guide teams on: o Medallion architecture implementation o Balancing normalization vs performance
  • Review and resolve complex data modeling and performance trade-offs
  • Ensure consistency of data structures across domains and workloads
  • Mentor and guide L2 resources in operational best practices and troubleshooting

Required Skills

  • Strong hands-on experience with Apache Iceberg and/or Hive-based data lakes
  • Understanding of data modeling concepts (normal forms) and modern Lakehouse patterns (Medallion architecture)
  • Expertise in: o Table-level optimization and performance tuning o Large-scale data management (TB/PB scale)
  • Experience with: o Spark SQL, Hive, Impala, NiFI, Trino
  • Strong understanding of: o Partitioning strategies o File formats (Parquet/ORC) o Distributed query processing

Preferred Skills

  • Experience with: o Hive-to-Iceberg or Teradata-to-Iceberg migration o Cloudera CDP (CDE/CDW)
  • Familiarity with: o Cloud platforms (AWS, Azure)
  • Scripting/automation (Python, Shell)