Data Engineer

Type of Requisition:
Regular

Clearance Level Must Currently Possess:
Other

Clearance Level Must Be Able to Obtain:
Secret

Public Trust/Other Required:
None

Job Family:
Data Science and Data Engineering

Job Qualifications:

Skills:
Big Data, Data Engineering, Data Modeling, Data Tools, Structured Query Language (SQL)
Certifications:
None
Experience:
2 + years of related experience
ship Required:
Yes

Job Description:

Deliver insights to help our clients turn data into action as a Data Engineer Senior at GDIT. Your work will provide transformative solutions to our clients' big-data obstacles and help advance the mission. Here, you can make a meaningful impact on our clients' mission and on your career.

At GDIT, people are our differentiator. As a Data Engineer Senior you will help ensure today is safe and tomorrow is smarter. Our work depends on Data Engineer Senior joining our team to work with our clients to develop enterprise grade data platforms, services, and pipelines. We are looking for more than just a "Data Engineer", but a technologist with excellent communication and customer service skills and a passion for data and problem solving. Lead and architect migration of data environments with performance and reliability. Assess and understand the ETL jobs, workflows, BI tools, and reports Address technical inquiries concerning customization, integration, enterprise architecture and general feature / functionality of data products Experience in crafting database / data warehouse solutions in cloud (Preferably AWS. Alternatively Azure, Google Cloud Platform).
Key must have skill sets - Microsoft data stack, Python, Support an Agile software development lifecycle You will contribute to the growth of our Data Exploitation Practice!

WHAT YOU'LL NEED TO SUCCEED:

Ability to hold a position of public trust with the US government.
2-4 years of experience working with MS SQL Server and SSIS to build ETL pipelines

2-4 years industry experience coding commercial software and a passion for solving complex problems.

2-4 years direct experience in Data Engineering with experience in tools such as:

Big data tools: Hadoop, Spark, Kafka, etc.
Relational SQL and NoSQL databases, including Postgres and Cassandra.
Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
AWS cloud services: EC2, EMR, RDS, Redshift (or Azure equivalents)
Data streaming systems: Storm, Spark-Streaming, etc.
Search tools: Solr, Lucene, Elasticsearch
Object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
Advanced working SQL knowledge and experience working with relational databases, query authoring and optimization (SQL) as well as working familiarity with a variety of databases.
Experience with message queuing, stream processing, and highly scalable 'big data' data stores.
Experience manipulating, processing, and extracting value from large, disconnected datasets.
Experience manipulating structured and unstructured data for analysis
Experience constructing complex queries to analyze results using databases or in a data processing development environment
Experience with data modeling tools and process
Experience architecting data systems (transactional and warehouses)
Experience aggregating results and/or compiling information for reporting from multiple datasets
Experience working in an Agile environment
Experience supporting project teams of developers and data scientists who build web-based interfaces, dashboards, reports, and analytics/machine learning models
Remote
ship Required

GDIT IS YOUR PLACE:
Flex work week to own your priorities at work and at home
401K with company match
Comprehensive health and wellness packages
Internal mobility team dedicated to helping you own your career
Professional growth opportunities including paid education and certifications
Cutting-edge technology you can learn from
Rest and recharge with paid vacation and holidays

The likely salary range for this position is $88,130 - $109,250. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:
40

Travel Required:
None

Telecommuting Options:
Remote

Work Location:
Any Location / Remote

Additional Work Locations:

Total Rewards at GDIT:
Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee's date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.

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Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans