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Associate Data Engineering Jobs in Texas (NOW HIRING)

Merican

Developer III - Software Engineering

Frisco, TX · On-site

$114K - $151K/yr

... Associate Data Engineers who deliver data products across the full vertical. * The team operates across the US (Frisco, TX) and India (Hyderabad) and US locations in PST Timezone, with engineers in ...

Alcon

Senior Associate Data Science

Fort Worth, TX · On-site

As a Senior Associate, Data Science , you will be part of Alcon's Analytics & Intelligence function ... Strong proficiency in programming languages including Python and SQL. * Experience with ...

Central Health

Data Systems Engineer

Austin, TX · On-site

$115K - $138K/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

Central Health

Data Systems Engineer

Austin, TX

$115K - $138K/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

Central Health

Data Systems Engineer

Austin, TX · On-site

$115K - $138K/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

K&L Gates

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Key Responsibilities 1. Data Engineering & Pipeline Development * Design, develop, and maintain ... Fabric Analytics Engineer Associate * Microsoft Certified: Azure Data Engineer Associate

IT America Inc

GCP Data Engineer

Richardson, TX · On-site

$104K - $124K/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 ...

Central Health

Data Systems Engineer

Austin, TX · On-site

$115K - $138K/yr

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

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All JobsAssociate Data Engineering JobsAssociate Data Engineering Jobs in Texas

Associate Data Engineering information

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 does an associate data engineer do?

An associate data engineer supports data collection, processing, and storage by developing and maintaining data pipelines and workflows. They often work with tools like SQL, Python, and cloud platforms, and may assist in data quality and integration tasks under the supervision of senior engineers.

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 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 engineers make $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn $500,000 or more annually. High compensation often involves leadership roles, specialized knowledge, or working in high-demand industries such as finance or technology. Achieving this level typically requires a combination of technical proficiency, certifications, and strategic career development.

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.

Can I make 200K as a data engineer?

Senior data engineers with extensive experience, specialized skills in tools like Spark or cloud platforms, and working in high-cost-of-living areas can earn salaries around or above $200,000 annually. Entry-level or mid-level data engineers typically earn less, with salaries increasing with expertise, certifications, and industry demand.

What engineers make 200,000 a year?

Senior data engineers and specialized software engineers often earn $200,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and certifications. High salaries are common in competitive markets and large organizations that require complex data infrastructure and engineering expertise.
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
Developer III - Software Engineering

Developer III - Software Engineering

Merican

Frisco, TX • On-site

$114K - $151K/yr

Contractor

Posted 2 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: Developer III - Software Engineering
Location: Pkwy, Frisco, TX 75034
Duration: 6+ Months
Job Type: Temporary Assignment
Work Type: Onsite
Job Description:
  • The Data Engineer is a hands-on builder who executes against decomposed deliverables across the same end-to-end vertical owned by Senior Data Engineers on the team from ingestion, through modeling and transformation, into the Microsoft Fabric semantic layer and Power BI visualizations.
  • The Data Engineer takes solution designs that Senior Data Engineers have shaped with the business and turns them into working, tested, documented, production-grade code.
  • Light interaction with HR business stakeholders is expected and will grow over time as the engineer matures into the Senior role, but business decomposition and solution design primarily sit with the Senior Data Engineers.
  • The Data Engineer must be located in the Citizen

WHERE THIS ROLE FITS:
  • Senior Data Engineers on the HR Analytics team sit with the business, identify authoritative sources, and decompose business objectives into technical designs spanning ingestion, data contracts, modeling, storage, semantic layer, and visualization.
  • The Data Engineer executes against those decomposed designs across the full vertical
  • Lands data from authoritative sources into the team's unified ingestion framework using the patterns specified in the design.
  • Implements the data contracts, models, and transformations sometimes independently and sometimes as specified by the Senior Data Engineer.
  • Builds pipelines in Snowflake (including Iceberg tables) and/or Databricks (Delta Lake) per the storage pattern in the design.
  • Implements testing, data quality checks, and reconciliation.
  • Builds the Fabric semantic layer assets and Power BI visualizations called for in the design.
  • Operates and maintains the data products after delivery.
  • Over time, the Data Engineer grows into more direct business engagement participating in stakeholder meetings, contributing to solution decomposition, and eventually leading conversations independently as preparation for promotion to Senior Data Engineer.

HOW THE TEAM WORKS TOGETHER:
  • The HR Analytics engineering team operates as a single team across the US and India, with clear layers and a shared way of working:
  • The HR Analytics engineering team is structured in three layers that work together an Information Architect who owns end-to-end architecture and engineering standards Principal Data Engineers who set the engineering bar and lead the data engineering team; and Senior Data Engineers, Data Engineers, and Associate Data Engineers who deliver data products across the full vertical.
  • The team operates across the US (Frisco, TX) and India (Hyderabad) and US locations in PST Timezone, with engineers in all regions partnering across the timezone gap to keep delivery moving and to share ownership of data products end-to-end.
  • Business engagement happens through the team's senior engineering and architecture leadership, with broader engineering team participation that grows over time as engineers build domain context and earn trust with stakeholders.
  • Work flows from a business need into a technical solution design, then into a build that spans ingestion through the unified framework, data modeling, transformation across Snowflake and Databricks, semantic layer in Microsoft Fabric, and visualization in Power BI - with quality, testing, documentation, and reliability owned across the whole vertical.
  • The team operates a DevOps model - engineers own their data products in production, share an on-call schedule, and rotate the operations role across the team.
  • This role is a hands-on engineer who builds data products end-to-end alongside senior engineers on the team, with the opportunity to grow into more independent ownership over time.

CORE RESPONSIBILITIES:
  • Execute against decomposed solution designs handed off by Senior Data Engineers, delivering production-grade code across the full vertical from ingestion through visualization.
  • Land source data into the team's unified ingestion framework using the appropriate ingestion pattern (batch, CDC, streaming, API) as specified in the design.
  • Implement physical data models and transformation logic in Snowflake (including Iceberg tables) and Databricks (Delta Lake, Unity Catalog) per the design.
  • Apply medallion (bronze, silver, gold) architecture and the team's engineering standards to all data product builds, including naming conventions, documentation, and code review practices.
  • Build assigned components of the semantic layer in Microsoft Fabric (Fabric IQ, OneLake) so business consumers interact with certified, business-meaningful models.
  • Build assigned Power BI visualizations and reports following the design specifications and the team's BI standards.
  • Implement comprehensive testing unit tests, integration tests, data quality checks, reconciliation logic, and SLA-driven alerting.
  • Own pipeline KTLO (Keep the Lights On) for assigned data products, including monitoring, incident response, and ongoing reliability improvements.
  • Write and maintain documentation including source-to-target mappings, data lineage, data dictionaries, and runbooks.
  • Contribute to and uphold the team's DevOps practices Git, CI/CD, automated testing, and code review.
  • Participate in HR business stakeholder meetings to build domain context, ask clarifying questions on assigned work, and grow into solution decomposition over time.
  • Participate in design reviews led by Senior Data Engineers, contributing implementation perspective and growing toward leading designs independently.
  • Collaborate with technical teams and share knowledge through demos and training sessions.

REQUIRED QUALIFICATIONS:
  • Bachelor's degree in Computer Science, Software Engineering, Information Management, or equivalent experience in field - plus 4+ years of related work experience.
  • Must be located in the Citizen
  • 4+ years of hands-on data engineering experience delivering production data pipelines in enterprise environments.
  • Strong proficiency in SQL and Python, including PySpark and Spark SQL for distributed data transformation.
  • Hands-on experience with Databricks including Delta Lake, Unity Catalog, and workflow orchestration.
  • Hands-on experience with Snowflake at production scale.
  • Working experience with Microsoft Fabric including OneLake; familiarity with Fabric IQ semantic layer concepts.
  • Working experience building data visualizations and reports in Power BI.
  • Experience implementing data ingestion pipelines using batch, CDC, API, or streaming patterns within a unified ingestion framework.
  • Solid data modeling skills, including dimensional modeling and lakehouse modeling patterns at the physical implementation level.
  • Experience implementing pipeline testing unit tests, integration tests, data quality checks, and reconciliation.
  • Experience with DevOps practices for data pipelines Git, CI/CD, and automated testing.
  • Good communication skills, with the ability to convey technical progress and ask clarifying questions of both technical leads and business stakeholders.
  • Strong problem-solving skills and the ability to execute independently on well-defined technical work in a fast-paced, agile environment.

PREFERRED QUALIFICATIONS:
  • Experience with Iceberg tables or other modern open table formats.
  • Experience with HR data domains - talent acquisition, workforce analytics, compensation, learning, performance, or people analytics.
  • Familiarity with Workday, ServiceNow HR, or comparable HR systems of record as authoritative sources for analytics.
  • Exposure to real-time streaming technologies including Kafka, Azure Event Hub, Delta Live Tables, or Spark Structured Streaming.
  • Exposure to AI/ML pipelines or building data products that support ML workloads.
  • Familiarity with legacy data platforms such as Teradata, Oracle, or SQL Server.
  • Azure certifications or demonstrated experience with Azure-native data platform services.
  • Familiarity with Client Omni lakehouse platform, MagentaBuilt integrations, or enterprise IT architecture standards.
  • Familiarity with data privacy and regulatory compliance for HR data (GDPR, CCPA, employee data protection).

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

Sourced by ZipRecruiter

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

Social media

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