Job Abstract

CACI is seeking a talented Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering and experience in designing, implementing, and maintaining robust pipelines. This role requires deep understanding of data architecture, data warehousing, ETL processes and big data technologies. The Data Engineer will work closely with data scientists, analyst, and other stakeholders to ensure the seamless flow and integrity of data across the organization.

What You’ll Get to Do:

• Build, maintain, and optimize data pipelines for extracting, transforming, and loading (ETL) data from various sources into our data warehouse.

• Integrate large, complex data sets that meet functional and non-functional business requirements.

• Design and implement scalable and reliable data warehousing solutions.

• Extract data from various sources, transform it into a usable format, and load it into Azure data storage solutions such as Azure Data Lake Storage, Azure SQL Database, or Azure Synapse Analytics

• Develop and maintain data pipelines using Azure Data Factory and other relevant Azure technologies

• Manage and optimize databases, ensuring data quality, integrity, and security.

• Automate manual processes, optimize data delivery, and re-design infrastructure for greater scalability.

• Collaborate with data scientists, analysts, and other stakeholders to understand data needs and deliver high-quality data solutions.

• Document data flows, processes, and system architecture to ensure clarity and knowledge sharing within the team.

You’ll Bring These Qualifications:

• Must have an active Top-Secret or higher security clearance.

• BA/BS in Computer Science, Information Technology, Data Analytics, or related field

• Strong experience in data extract transform load (ETL) processes using Azure services, such as Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure SQL Database, or Azure Synapse Analytics

• 4+ years’ experience and skill writing coding languages (such as SQL, Python, R, SAS, and Java Scripts)

• 2+ years’ experience working with projects involving machine learning, natural language processing, robotics process automation, artificial intelligence, text and/or data mining, as well as statistical and mathematical methods

• Experience with using SQL to conduct complex database queries

• Experience with AI/ML

These Qualifications Would be Nice to Have:

• 2+ years of experience working within the DoD or IC Community

• Master's degree in Mathematics, Statistics, CS, or Data Analytics

• Clearance: TS with SCI Eligibility

What We Can Offer You:
- We’ve been named a Best Place to Work by the Washington Post.
- Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives.
- We offer competitive benefits and learning and development opportunities.
- We are mission-oriented and ever vigilant in aligning our solutions with the nation’s highest priorities.
- For over 60 years, the principles of CACI’s unique, character-based culture have been the driving force behind our success.

Company Overview:

CACI is an Equal Opportunity/Affirmative Action Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic.

Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here

The proposed salary range for this position is: