Data Engineer

DescriptionOur client is building a new data platform to support their Modern Sales initiative. This data platform will help sales reps at Constellation gain better access to customer, market, pricing, and real time data. This is a new organization that is being built out. They are hiring a data science team, data enablement, full stack development, and testing teams.Primary Duties and Accountabilities• Produce high-quality, secure, and maintainable code/configurations• Learn and understand business processes withlimited guidance • Work collaboratively as a member of the development team to build best-in-class software solutions inan agile environment • Support and research issues across all application layers and database• Identify areas to improveand scale our Azure architecture and application design• Ensure code can be deployed using Azure DevOps• Design and query database tables, views, functions, storedprocedures and batch processes • Develop, implement, and support interfaces that connect our websites, back-endsystems, and various 3rd party cloud solutions, vendors and customers.• Engage with business partners to gather information, analyze requirements and deliver practical, efficient andcost-effective solutions that satisfy business needs. Write product specifications and design documentation for assignedsystem components.• Design, develop and/or review complex code or configurations to ensure AI solutions meet therequirements of functional and technical specifications. Develop and/or review project technical architecture design anddevelopment. Solutions may include but are not limited to the development of various types of applications, web, mobileapp, full stack or integrations hosted on premises data centers or in the cloud. Develop automated Unit tests and/orautomated UI tests.• Design and build large-scale AI data platforms/products & frameworks for processing high volumes of data, inreal-time as well as batch, that will be used by teams across the organization • Develop complex data algorithms forAI/ML, data analytics, machine learning, or scientific computing • Utilize a deep understanding of AI/ML/data applicationsto translate business needs into technical solutions • Lead team members and provide oversight for less experiencedengineers; Stay on top of the latest technologies and trends. Support development of version control principles (e.g. Gitand working within an agile environment)• Enhance knowledge of and compliance with preferred technologies, methodologies, standards and policies. Maintaintechnical knowledge and business acumen within own discipline or function. Strong debugging and problem-solving skills;lead peer code reviews. • Provide IT teams and business personnel with technology solutions by weighing advantages oftechnology trends, market availability of products, risks and benefits of technology to meet business/IT needs. Participatein IT architecture review and standards setting. Assist in the development of white papers, conducting presentations asneeded to explain why a technology is being recommended by IT.Big Data and Integration:Expertise in handling big data systems and integrating data from diverse sources (e.g., APIs, flat files, databases).Network and External Connections:Experience in configuring secure external connections to data sources (e.g., Azure Data Lake Storage, On-prem SQL Server) using service principals, SAS tokens, OAuth, or mounting techniques.Security and Governance:Strong understanding of data security, encryption, and compliance standardsExperience implementing data governance frameworks to manage data quality.Azure Data Factory (ADF):Proven expertise in using ADF for orchestrating and automating data workflows across cloud and on-premises systems.• Bachelor’s degree (ex: Computer Science or related discipline) and 5-8 years of relevant experience or minimum 9-12years of relevant combination of education and work experience.• Experience with private and public cloud architectures,pros/cons, and migration considerations• Minimum of 5 years of RDBMS experience • Experience with JSON, JSON-LD,XML data structures· • Experience implementing data pipelines using latest technologies and techniques• Experience with SDLC products(Azure DevOps, JIRA, Confluence, GitHub) or similar agile project management tools• 3-5+ years of hands-on experience in programming languages such as Java 8, c#, node.js, python, SQL, Unix shell/Perl scripting • 5+ years of industryexperience data engineer, with involvement in the data component of the AI/ML lifecycle, and a solid understanding ofapplied machine learning topics• At least 3-5 years of consulting or client service delivery experience on Azure •Experience handling Structured and unstructured datasets· • Strong t-SQL skills with experience in Azure SQL DW• Experience in Data Modeling and Advanced SQL techniques• Cloud migration methodologies and processes with tools like Azure Data Factory, Event Hub, etc.• Excellent problemsolving, analytical, and critical thinking skills.• Bachelor's degree (ex: Computer Science or related discipline) and 5 - 8years of relevant experience (programming technologies) or minimum 9-12 years of relevant combination of education andwork experience· • Knowledge of ETL tools.• Experience with cloud-native Azure technologies like Azure Functions, Event Grids,Service Bus Queues, Cosmos DB, Azure Data Factory, or related is a plus.• Experience with designing integrationapplications, both upstream and downstream applications.• Experience with git, Azure DevOps, build pipelines, codebranching/merging, code management.• Experience writing and executing stored procedures• Knowledge of Event drivenarchitecture.SkillsPython, Sql, Data, Spark, azure, databricks, etl, data warehouseTop Skills DetailsPython, SQL, Data, Spark, Azure, Databricks, ETLAdditional Skills & QualificationsPreferred Qualifications• Logic Apps • Azure Function App • Microservice Architecture • Background and knowledge of .NET REST Api. • ServiceBus Queue & Event Grids • Experience in USQL, Hive SQL, Spark SQL, Data BricksNice-to-Have Skills:Data Vault Modeling:Knowledge of Data Vault methodology for designing scalable and flexible data models.Other Orchestration Tools:Familiarity with workflow orchestration tools like Five TranWe can not third parties for this role.

Job Type & LocationThis is a Contract position based out of Baltimore, MD.

Pay and BenefitsThe pay range for this position is $65.00 - $65.00/hr.Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:

• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace TypeThis is a fully remote position.

Application DeadlineThis position is anticipated to close on Aug 14, 2026.

About TEKsystems

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.