Senior Data Engineer

CACI International Inc; Arlington (VA); In loco; USD 104.000 - 218.000; Tempo pieno

Descrizione del lavoro

CAC I International Inc seeks a Senior Data Engineer to design, implement, and maintain robust data pipelines and data warehouse architectures. You will work with data scientists and analysts to ensure data quality and availability across the organization.

The role emphasizes ETL, big data technologies, and Azure-based data platforms, with collaboration across teams to deliver scalable solutions for mission-critical data needs.

Competenze

• 7+ years of related experience.
• Active DoD Secret clearance.
• Strong experience with Azure data services and ETL pipelines.

Mansioni

• Build, maintain, and optimize data pipelines for ETL into a data warehouse.
• Integrate large, complex data sets to meet requirements.
• Design scalable data warehousing solutions.
• Develop and maintain pipelines using Azure tools (Data Factory, Databricks, ADLS, SQL, Synapse).
• Ensure data quality, integrity, and security; document data flows and architecture.

Conoscenze

ETL processes

SQL

Python

R

SAS

JavaScript

Formazione

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

Strumenti

Azure Data Factory

Azure Databricks

Azure Data Lake Storage

Azure SQL Database

Azure Synapse Analytics

Descrizione del lavoro

Job Title: Senior Data Engineer
Job Category: Information Technology
Time Type: Full time
Minimum Clearance Required to Start: Secret
Employee Type: Regular
Percentage of Travel Required: None
Type of Travel: None
* * *

The Opportunity

CACI is seeking a talented Sr. 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.

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.
• 7+ 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.
• 6+ years’ experience and skill writing coding languages (such as SQL, Python, R, SAS, and Java Scripts).
• 4+ 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

• 4+ 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 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 values the unique contributions that every employee brings to our company and our customers - every day. 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.

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.

The Proposed Salary Range For This Position Is

$103,800 - $218,100

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