Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible for designing, developing, and maintaining data pipelines and enterprise data solutions while contributing to th…
Skills: SQL, T-SQL, Azure Data Factory, Python, Azure Cloud
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SAP Life Sciences Delivery & Solutioning Architect
Brisbane, California, United States · On-site
$124k–$282k/yr
Senior+$5.7B raised
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Cyber - Digital Identity SME - Senior - Consulting - Location OPEN
Dallas, Texas, United States · Hybrid
$105k–$219k/yr
Mid level
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Tellabs Access LLC
Senior Hardware Engineer
Dallas, Texas, United States · On-site
Senior
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Full-time
bachelor degree
Retirement Plan, Company Match, Profit-sharing Contribution, Medical Insurance, Dental Insurance, Vision Insurance
Posted 23d ago
Apply by Jul 20
~40 hrs/week
Responsibilities
Design, develop, and maintain scalable ETL/ELT pipelines and enterprise data solutions using Azure and SQL Server. Partner with business stakeholders to translate requirements into technical data integrations and support reporting initiatives.
Requirements
Requires a Bachelor's degree and 3+ years of professional experience in data engineering with strong proficiency in SQL, Python, and Azure environments. Experience with Git, Azure DevOps, and AI-assisted development tools is also required.
Full job description
Overview
We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible for designing, developing, and maintaining data pipelines and enterprise data solutions while contributing to the continued evolution of our data architecture and analytics platform.
The ideal candidate has a solid foundation in data engineering and enjoys working across multiple technologies to build scalable, reliable data solutions. This individual will partner closely with business stakeholders to understand requirements, develop data integration solutions, and support reporting and analytics initiatives.
As our data platform continues to evolve, this role will have the opportunity to contribute to architectural decisions and gain experience with emerging technologies including Microsoft Fabric, Databricks, Snowflake, and AI-enabled development tools.
This is a full-time, in-office position.
Responsibilities
Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory, SQL Server, SSIS, and Python.
Develop SQL queries, stored procedures, views, and database objects to support enterprise reporting and analytics.
Build and maintain reliable data integrations from internal and external data sources.
Partner with business users to gather requirements and translate business needs into technical solutions.
Support the design and enhancement of enterprise data models and data architecture.
Collaborate with BI developers to provide optimized datasets for Power BI reporting and semantic models.
Utilize Azure DevOps and Git for source control, deployments, and CI/CD processes.
Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
Contribute to data quality, governance, documentation, and engineering standards.
Explore and leverage AI-assisted development tools to improve engineering productivity and solution quality.
Continuously learn and evaluate emerging data platform technologies.
Qualifications
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience).
3+ years of professional experience in data engineering or a related technical role.
Strong experience with SQL, Microsoft SQL Server and T-SQL development.
Experience developing ETL/ELT pipelines using Azure Data Factory or similar integration tools.
Experience programming with Python.
Experience working within Azure cloud environments.
Experience using Git and Azure DevOps or similar source control and CI/CD platforms.
Working knowledge of Power BI datasets and data modeling concepts.
Experience gathering business requirements and working directly with stakeholders.Strong analytical, communication, and problem-solving skills.
Experience or familiarity with AI-assisted development tools such as Microsoft Copilot, GitHub Copilot, ChatGPT, Codex, or similar technologies.
Preferred Qualifications:
Experience with Microsoft Fabric, Databricks, or Snowflake.
Knowledge of enterprise data architecture and data modeling principles.
Experience with Azure Data Lake Storage.
Familiarity with dimensional modeling and data warehouse concepts.
Experience integrating REST APIs and semi-structured data.
Interest in AI, advanced analytics, and modern cloud data platforms.
Why Kimley-Horn?
At Kimley-Horn, we do things differently. People, clients, and employees are at the forefront of who we are. Clients know we prioritize achieving their goals and growing their success. Employees know our culture and approach to business are built on a desire to provide an environment for everyone to flourish. Our commitment to quality is only as good as the people behind it— that’s why we welcome and develop passionate, hardworking, and proactive employees. We take pride in how our employee retention, robust benefits package, and company values have led to Kimley-Horn’s placement on the Fortune “100 Best Companies to Work” list for 19 years!
Key Benefits at Kimley-Horn
Exceptional Retirement Plan: 2-to1- company match on up to 4% of eligible compensation (salary + bonus) and additional profit-sharing contribution.
Comprehensive Health Coverage: Low-cost medical, dental, and vision insurance options.
Time Off: Personal leave, flexible scheduling, floating holidays, and half-day Fridays.
Financial Wellness: Student loan matching in our 401(k), and performance-based bonuses.
Professional Development: Tuition reimbursement and extensive internal training programs.
Family-Friendly Benefits: New Parent Leave, family building benefits, and childcare resources.
Related keywords
Azure Data FactorySQL ServerT-SQLPythonSSISAzure DevOpsGitPower BIMicrosoft FabricDatabricksSnowflakeETLELTCI/CDData ArchitectureDimensional Modeling
One of the nation's premier planning and design consulting firms.
Industry
Engineering Services
Company size
5,001-10,000 employees
Founded
1967
Headquarters
Raleigh, North Carolina
LinkedIn followers
179,529
Kimley-Horn is one of the nation’s premier planning and design consulting firms. With nearly 11,000+ staff members in more than 160 offices across North America, we offer full services in a wide range of disciplines.
Clients know us for the creativity of our solutions and the sense of urgency we bring to each and every project. We take a clients’-eye view of our work, planning and designing to accomplish the client’s goals in the most effective manner.
A quality workplace is equally important to us, and the unique benefits we bring to our staff have been recognized by Fortune magazine (“100 Best Companies to Work For” and "100 Best Workplaces for Millennials") and Civil Engineering News (#1 “Best Civil Engineering Companies to Work For”).
Offices: 421 Fayetteville St, Raleigh, North Carolina 27601, US
aviationenvironmental servicesITSforensic engineeringland developmentlandscape architecture+planningland planningparkingenergyroads and bridges
Based on 547 listings with disclosed salaries, most software jobs in Dallas, TX pay between $80k–$210k per year. Individual offers vary with seniority, company size, and specialization.
How many Software jobs are open in Dallas, TX right now?
There are currently 1,192 open software positions in Dallas, TX listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Software roles in Dallas, TX?
Companies currently hiring include Capgemini, Goldman Sachs, Check Point Software, Photon, Amazon, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Software jobs in Dallas, TX?
Yes — 600 of the 1192 open software positions offer remote or hybrid work (264 remote, 336 hybrid).
How do I apply for Software jobs in Dallas, TX?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.