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Data Engineer Intermediate Jobs in Frisco, TX (NOW HIRING)

Blue Learning

Data Engineer

Lewisville, TX · On-site

$75K - $93K/yr

This role is ideal for a beginner-to-intermediate professional who is excited to help build ... Experience: 1-3 years in data engineering, analytics engineering, or a data-heavy technical role.

HumCap, Inc.

Data Engineer

Dallas, TX

$113K - $136K/yr

... Engineer to join the Enterprise Reporting team. You'll build and maintain the data pipelines ... Experience building and maintaining dbt models (staging, intermediate, mart layers; tests ...

Select Minds LLC

Data Engineer

Dallas, TX · On-site

$60 - $65/hr

Inperson Job Summary Work with limited supervision to design, develop, and support data engineering ... Intermediate-level expertise in cloud infrastructure and Data Lake environments * Strong ETL ...

Select Minds LLC

Data Engineer

Dallas, TX · On-site

$60 - $65/hr

Inperson Job Summary Work with limited supervision to design, develop, and support data engineering ... Intermediate-level expertise in cloud infrastructure and Data Lake environments * Strong ETL ...

Omni Hotels & Resorts

Cloud Data Engineer

Dallas, TX · On-site

$55.25 - $73/hr

Omni's Cloud Data Engineer specializing in Microsoft Fabric is responsible for designing, building ... Intermediate level of programming skills in Python and SQL, stored procedures. With 4-to-5-year ...

AgileEngine

Senior Data Engineer ID75059

Dallas, TX · On-site +1

$104K - $142K/yr

ABOUT THE ROLE We are looking for a Senior Data Engineer to design and build scalable data lakes ... Upper-intermediate English level. NICE TO HAVES - Familiarity with the fintech industry ...

Akraya Inc.

Software Dev Engineer IV: 26-01585

Dallas, TX · On-site

$80 - $85/hr

Python (Proficient), Java (Proficient), AWS Services (Expert), CloudFormation (advanced), Data Engineering (intermediate) Contract Type: W2 Only Duration: 18 Months with possible extension Location:

NAVA Software Solutions

Senior PowerBI Engineer

Plano, TX · On-site

$117K - $154K/yr

Advanced knowledge of SQL, intermediate knowledge of Python * 8-12 years of work experience of analyzing and interpreting data as a business intelligence engineer, data engineer, or at a similar ...

Inspire Communities.

Analytics Engineer

Dallas, TX · On-site

The Data Engineer will report to the SVP, FP&A and will be responsible for helping develop and ... Intermediate proficiency with ETL tools, with preference for Fabric Python Notebooks and Azure Data ...

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All JobsData Engineer Intermediate JobsData Engineer Intermediate Jobs in Frisco, TX

Data Engineer Intermediate information

See Frisco, TX salary details

$41.6K

$121.4K

$166.1K

How much do data engineer intermediate jobs pay per year?

As of Aug 6, 2026, the average yearly pay for data engineer intermediate in Frisco, TX is $121,406.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,200.00 and $128,700.00 per year, depending on experience, location, and employer.

What are some common challenges data engineer intermediates face when working with large-scale data pipelines?

As a Data Engineer Intermediate, you may frequently encounter challenges related to maintaining data quality and consistency across multiple sources, optimizing ETL processes for performance, and ensuring data pipelines are scalable to handle increasing data volumes. Troubleshooting data latency issues and managing dependencies between data sets are also common hurdles. Collaborating closely with data analysts, data scientists, and other engineers is essential to address these challenges and deliver reliable, high-quality data solutions.

What is a data engineer intermediate?

A Data Engineer Intermediate is a professional who designs, builds, and maintains data pipelines and architectures, typically with a few years of experience in the field. They are responsible for collecting, transforming, and storing data in ways that make it accessible and usable for analytics and business intelligence. Intermediate data engineers often work with tools like SQL, Python, ETL frameworks, and cloud platforms. They collaborate with data scientists, analysts, and other engineers to ensure data quality and optimize data workflows. This role requires a good understanding of data modeling, database systems, and data integration techniques.

What is the difference between Data Engineer Intermediate vs Data Engineer Junior?

AspectData Engineer IntermediateData Engineer Junior
Required CredentialsBachelor's in CS, experience with SQL, Python, ETL toolsEntry-level, basic knowledge of SQL and scripting
Work EnvironmentCollaborates on complex data pipelines, supports data architectureAssists in data tasks, learns from senior engineers
Employer & Industry UsageUsed in tech, finance, healthcare sectors for data projectsCommon in similar industries as entry-level role
Comparison Search IntentUnderstanding role progression, skills requiredEntry-level position, learning expectations

The main difference between Data Engineer Intermediate and Data Engineer Junior lies in experience, skill level, and responsibilities. Intermediate engineers handle more complex data pipelines and support data architecture, while junior engineers focus on learning foundational skills and assisting senior staff. This distinction helps employers and candidates understand career progression and required competencies.

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

To thrive as a Data Engineer Intermediate, you need strong programming skills in languages like Python or Java, experience with database systems (SQL/NoSQL), and a solid understanding of data modeling, ETL processes, and data warehousing concepts. Familiarity with tools such as Apache Spark, Hadoop, Airflow, and cloud platforms like AWS or Azure, as well as relevant certifications, is highly valued. Excellent problem-solving abilities, attention to detail, and clear communication skills help set candidates apart in this role. These competencies ensure efficient data pipeline development, reliable data infrastructure, and effective collaboration with data teams and stakeholders.
What are the most commonly searched types of Data Engineer jobs in Frisco, TX? The most popular types of Data Engineer jobs in Frisco, TX are:
Data Engineer Intermediate jobs near you
Infographic showing various Data Engineer Intermediate job openings in Frisco, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,406 per year, or $58.4 per hour.

Data Engineer

Blue Learning

Lewisville, TX • On-site

$75K - $93K/yr

Full-time

Re-posted 17 days ago

Job description

Description:

We are looking for a motivated Data Engineer to join our growing data team. This role is ideal for a beginner-to-intermediate professional who is excited to help build, maintain, and optimize modern data pipelines, ensuring the organization has access to clean, reliable data. You will work closely with relational databases, cloud data warehouses, and modern orchestration tools while supporting analytics initiatives across the company. This is a fantastic opportunity to level up your career using a modern data stack (Python, dbt, Dagster, BigQuery) while enjoying a high degree of autonomy.

Requirements:

Core Responsibilities

  • Pipeline Development: Design, build, and optimize robust ETL/ELT data pipelines to ingest data from legacy ODBC databases and modern third-party APIs.
  • Data Transformation: Write clean, optimized SQL and utilize DBT to transform raw data into production-ready models.
  • Orchestration: Use Dagster to schedule, monitor, and manage workflows, ensuring errors are caught early.
  • Database Management: Work across both SQL Server and Google BigQuery, managing data structures and optimizing queries.
  • Data Quality & Governance: Support data validation, troubleshooting efforts, and documentation of data governance best practices.
  • Stakeholder Support: Collaborate with analytics teams to deliver clean datasets for reporting and support dashboard initiatives in Tableau or other BI Tools as required.
  • Other duties as required.
Required Skills & Qualifications
  • Experience: 1–3 years in data engineering, analytics engineering, or a data-heavy technical role.
  • Strong SQL Skills: Proficiency in writing, debugging, and optimizing complex queries and stored procedures.
  • Python Proficiency: Ability to write clean Python scripts for data manipulation, automation, and interacting with APIs.
  • ETL/ELT Concepts: Solid understanding of data pipeline development and API/ODBC integrations.
  • Technical Troubleshooting: Proven ability to troubleshoot data issues and work independently.
Preferred Qualifications & Nice-to-Haves
  • Modern Data Stack: Familiarity with dbt (data build tool) and Dagster (or similar tools like Airflow).
  • Google Cloud Platform (GCP): Familiarity with BigQuery, Google Cloud Storage (Buckets), and Google Drive integrations.
  • Data Visualization: Experience with Tableau or similar BI tools to understand downstream data consumption.
  • Version Control: Basic experience with Git/GitHub.
  • Agile Mindset: Experience working in fast-paced environments with an interest in automation and process improvement.
  • Agentic agent development knowledge is a plus.