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Associate Data Engineering Jobs in Texas (NOW HIRING)

Merican

Associate Data Architect I

Frisco, TX · On-site

$59.75 - $76.75/hr

Associate Data Architect I Location: Frisco, TX Duration: 6 Months Job Type: Temporary Assignment ... Investigate upstream issues and coordinate with data engineering teams to fix defects quickly.

Central Health

Data Systems Engineer

Austin, TX

$115.40K - $138.60K/yr

This role requires deep technical expertise in cloud-native data engineering including pipeline ... Azure Data Engineer Associate (DP-203) (Within 6 Months) Employment Type: FULL_TIME

Lennar

Sr Data Engineer

Irving, TX · On-site

$109.90K - $132K/yr

... Associates throughout their career. Lennar has been recognized as a Fortune 500 company and ... This position requires expertise in data engineering practices and a proactive approach to problem ...

IT America Inc

GCP Data Engineer

Richardson, TX · On-site

$104K - $124.90K/yr

Bachelor's degree in Computer Science, Data Engineering, or related field. * 5+ years of experience ... Preferred Qualifications: * GCP Professional Data Engineer or Associate Cloud Engineer ...

Pwc

Data Engineer - Senior Associate

San Antonio, TX

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Associate you analyze complex problems, mentor others, and maintain rigorous standards.

Pwc

Data Engineer - Senior Associate

Houston, TX

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Associate you analyze complex problems, mentor others, and maintain rigorous standards.

Pwc

Data Engineer - Senior Associate

Dallas, TX · On-site

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Associate you analyze complex problems, mentor others, and maintain rigorous standards.

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Associate Data Engineering information

What are the key skills and qualifications needed to thrive as an Associate Data Engineer, and why are they important?

To thrive as an Associate Data Engineer, a solid understanding of database systems, SQL, data modeling, and a relevant bachelor's degree in computer science or a related field is essential. Familiarity with ETL tools, cloud platforms like AWS or Azure, and programming languages such as Python or Java is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help set candidates apart in collaborative, data-driven environments. These skills and qualities are crucial for building reliable data pipelines, ensuring data quality, and enabling actionable business insights.

What are some typical projects an Associate Data Engineer might work on in their first year?

In their first year, an Associate Data Engineer often works on building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of new data sources. They may also assist in optimizing existing data workflows for better performance and reliability, as well as collaborating closely with data analysts and senior engineers to ensure data quality and accessibility. These projects help new team members develop a strong understanding of the organization's data infrastructure and best practices in data engineering.

What is an Associate Data Engineer?

An Associate Data Engineer is an entry-level professional who assists in designing, building, and maintaining data pipelines and infrastructure. They typically work with senior data engineers to ensure data is collected, stored, and processed efficiently for analytics and business use. Responsibilities often include data cleaning, integration, and supporting the development of scalable data solutions. Associate Data Engineers usually have foundational knowledge of programming, databases, and cloud technologies.

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

AspectAssociate Data EngineeringData Engineer
Required CredentialsBachelor's degree in CS, IT, or related field; some certificationsBachelor's or master's degree; extensive experience preferred
Work EnvironmentEntry-level, team-focused, supporting data pipelinesDesigning, building, and maintaining large-scale data systems
Employer & Industry UsageCommon in tech companies, finance, healthcareUsed across industries for advanced data infrastructure roles
Search & Comparison IntentEntry-level, learning, support rolesAdvanced, specialized data infrastructure roles

The main difference between Associate Data Engineering and Data Engineer lies in experience and responsibilities. Associate Data Engineers are typically entry-level, focusing on supporting data pipelines and gaining hands-on experience. Data Engineers have more experience, handling complex data architecture, optimization, and system design. Both roles require similar educational backgrounds, but Data Engineers usually have more technical expertise and responsibility.

What are the most commonly searched types of Data Engineering jobs in Texas? The most popular types of Data Engineering jobs in Texas are:
What cities in Texas are hiring for Associate Data Engineering jobs? Cities in Texas with the most Associate Data Engineering job openings:
Associate Data Engineering jobs near you
Associate Data Architect I

Associate Data Architect I

Merican

Frisco, TX • On-site

$59.75 - $76.75/hr

Contractor

Posted 24 days ago

Job description

Overview:
TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client provider of digital technology and transformation, information technology and services
Position: Associate Data Architect I
Location: Frisco, TX
Duration: 6 Months
Job Type: Temporary Assignment
Work Type: Hybrid
Job Description
  • We are seeking a Senior Data Analyst to support a critical finance transformation initiative by ensuring data accuracy, completeness, and readiness-especially for the FP&A / Planning (BPM) workstream.
  • The organization is implementing planning modules (Oracle BPM / EDM / EBPCS) and will feed data from upstream platforms such as Snowflake / Databricks into these systems.
  • This role will focus on vetting and validating upstream and downstream data, performing analysis to ensure correctness, and partnering closely with the Data Architect to support the RDMP platform goals.
  • This role requires someone senior who can ask the right questions, challenge assumptions, investigate upstream issues, and ensure data truly solves the business problem (single source of truth for finance).

Key Responsibilities
Perform data validation and vetting for FP&A/Planning use cases:
  • Validate upstream datasets feeding Oracle planning modules (BPM/EDM/EBPCS)
  • Identify mismatches, quality gaps, reconciliation issues, and root causes

Conduct data analysis to ensure accuracy and consistency across domains:
  • Compare finance outputs across systems to prevent multiple answers to key metrics (e.g., revenue)

Build and execute data quality checks and validation routines:
  • Completeness, accuracy, timeliness, and business rule conformance

Work closely with the Data Architect to support RDMP platform build:
  • Provide insights on source data issues and domain definitions
  • Support lineage/quality requirements and documentation

Collaborate with FP&A partners and domain stakeholders:
  • Translate business expectations into validation rules and test cases
  • Ensure the data being delivered aligns to real business outcomes
  • Investigate upstream issues and coordinate with data engineering teams to fix defects quickly.
  • Maintain documentation on data definitions, validation steps, findings, and remediation status.

Required Qualifications
  • 7-10+ years of experience as a Data Analyst / Senior Data Analyst in enterprise data environments.
  • Strong experience in data analysis and validation using:
  • SQL and analytical techniques
  • Data profiling and reconciliation across multiple sources

Strong hands-on exposure to:
  • Snowflake
  • Databricks
  • Azure ecosystem (data services understanding)
  • Familiarity with Oracle planning modules (BPM / EDM / EBPCS) and/or finance planning data flows.
  • Strong critical thinking and ability to ask probing questions across upstream/downstream systems.

Preferred Qualifications
  • Finance domain experience (FP&A, Accounting, Revenue, Tax, Treasury) or similar data-intensive domains.
  • Experience supporting data for forecasting / modeling / ML initiatives (data readiness and quality).
  • Familiarity with data lineage, observability, and governance practices.

Key Skills & Competencies
  • Strong attention to detail; data accuracy-first mindset.
  • Ability to independently investigate issues and drive closure.
  • Strong ownership and urgency-bias for action.
  • Strong stakeholder communication; can bridge business + technical teams.

Interview Evaluation Focus
  • Scenario-based data validation and reconciliation discussions
  • Demonstrated examples of finding root causes across complex data flows
  • Ability to challenge upstream issues and define "what good data looks like"
  • Practical SQL/data reasoning skills

TekWissen® Group is an equal opportunity employer supporting workforce diversity.
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About Merican

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Merican is a IT Service consulting firm, specialized in Digital adoption and Business automation. With our diverse collection of skilled and committed consultants, technology companies, businesses and digital experts, we provide our subject expertise and our unique client service approach, a best-in-class global model of delivery suited to the business demands of our clients. We ensure that we implement future-oriented solutions for our clients via investments in people, solutions, technologies, competencies and infrastructure.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Columbia , MD, US

Year founded

2020

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