Who We Are
Founded in 2007, DTI (Diversified Technology, Inc.) is a successful African American owned IT Consulting/Staffing firm based in Chicago's Loop.
What We Do
We focus on providing delivery, staffing, and supported services such as enterprise integration/implementations including, but not limited to, CRM, EAM, ERP, PMO, and QA. We service clients in SLED (state/local gov't & education), financial services, fortune, public utility, as well as regularly partnering with Big 4 SI partners.
Are you a
Data Scientist looking for your next contract? If so, we want to speak to you! DTI has an immediate need for a
Data Scientist for a
6 Months Contract.
Must work on our W2
Job Title: Data Scientist
Location: San Jose, CA
Duration: 6 Months Contract (09/01/2025 to 02/28/2026
Primary Skill Required for the Role: Databricks Architect
Level Required for Primary Skill: Advanced (6-9 years experience)
Job Description
The services You will provide the Client project team: As a Data Scientist Contractor, you will analyze complex data sets to extract meaningful insights and support data-driven decision-making. Collect, process, and analyze large datasets to identify trends, patterns, and insights. Develop and implement machine learning models and algorithms to solve business problems. Create data visualizations and dashboards to communicate findings to stakeholders. Collaborate with project teams to understand data requirements and deliver relevant analytical solutions. Ensure data accuracy and integrity by performing data validation and quality checks.
Databricks Data Engineer
Location: [Bay Area, CA]
Department: Data & Analytics / Engineering
Job Summary
We are seeking a skilled Data Engineer with hands-on Databricks experience to design, build, and optimize large-scale data pipelines and analytics solutions. You will work with cross-functional teams to enable scalable data processing using the Databricks Lakehouse Platform on Azure.
Key Responsibilities
- Design and implement ETL/ELT pipelines using Databricks, Delta Lake, and Apache Spark
- Collaborate with data scientists, analysts, and stakeholders to deliver clean, reliable, and well-modeled data
- Build and manage data workflows with Databricks Jobs, Notebooks, and Workflows
- Optimize Spark jobs for performance, reliability, and cost-efficiency
- Maintain and monitor data pipelines, ensuring availability and data quality
- Implement CI/CD practices for Databricks notebooks and infrastructure-as-code (e.g., Terraform, Databricks CLI)
- Document data pipelines, datasets, and operational processes
- Ensure compliance with data governance, privacy, and security policies
Qualifications:
- Bachelor's or Master's in Computer Science, Data Engineering, or a related field
- 5+ years of experience in data engineering or a similar role
- Strong hands-on experience with Databricks and Apache Spark (Python, Scala, or SQL)
- Proficiency with Delta Lake, Unity Catalog, and data lake architectures
- Experience with cloud platforms (Azure, AWS, or GCP), especially data services (e.g., S3, ADLS, BigQuery)
- Familiarity with CI/CD pipelines, version control (Git), and job orchestration tools (Airflow, DB Workflows)
- Strong understanding of data warehousing concepts, performance tuning, and big data processing
Preferred Skills::
- Experience with MLflow, Feature Store, or other machine learning tools in Databricks
- Knowledge of data governance tools like Unity Catalog or Purview
- Experience integrating BI tools (Power BI, Tableau) with Databricks
- Databricks certification(s) (Data Engineer Associate/Professional, Machine Learning, etc.)
7 year background verification check (employment, criminal, etc.) and drug test required
Additional Skills Requested for Role: Skill
Level Criteria Databricks Advanced (6–9 years) Apache Spark with Scala Advanced (6–9 years) Python Advanced (6–9 years) Azure
Pay rate: $40.60-$43.63/hr depending on experience
Please click on the link below for our company benefits
(url removed)
DTI is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, gender identity, sexual orientation, national origin, ancestry, age, disability, marital status, veteran status, or any other protected characteristic under Illinois state or federal law. All qualified applicants are encouraged to apply, and employment decisions are based solely on merit, qualifications, and business needs.
