The Opportunity:
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.
Hybrid! 3 days onsite and 2 days remote!
Responsibilities:
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.
Qualifications:
Required:
An active DoD Secret clearance.
BA/BS in Computer Science, Information Technology, Data Analytics, or related field.
5+ years of related experience.
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.
Desired:
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.
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What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.
An environment of trust.
CACI takes pride in fostering a diverse and accessible culture where every individual feels supported to chart their own path. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.
Your potential is limitless. So is ours.
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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:
$78,700 - $165,300