Data Engineer Senior

Key Skills

Amazon RedShift, AWS, Azure, Big Data Technology, Data Engineering, Google Cloud Platform (GCP), Machine learning techniques, MySQL, PostgreSQL, Python Programming, R Programming, SQL

Job Description

GDIT is your place. You make it your own. Bring your creativity to help us find simple solutions to complex problems. By owning your opportunity at GDIT, you'll play an essential part in preparing our nation for the future. At GDIT, our employees are driven, resourceful, and unwavering.

HOW A DATA ENGINEER SENIOR WILL MAKE AN IMPACT

• Responsible for the development, customization, and maintenance of public-facing web services, for the purpose of providing system health, system usage, and system utilization metrics to management, users, and stakeholders.
• Responsible for data migrations, data modeling, and creating schema.
• Provides expert-level design and development of relational databases.
• Designs, implements, and maintains data pipelines to perform extract, transform, and load (ETL) data from sources to destinations.
• Builds and manages cloud-native data architectures in AWS and Azure.
• Identifies and directs information needs and elements, data relationships and attributes, data flow and storage requirements, and data output and reporting capabilities.
• Leads new data development ensuring consistency and integration with existing data warehouse structure.
• Reviews business requests for data and data usage, researches data sources for new and better data feeds.
• Maintains comprehensive documentation on data processes, pipelines, and architecture for knowledge sharing and collaboration.
• Leads continuous improvement efforts in enhancing performance and providing increased functionality, including performing proactive maintenance such as ensuring continued space availability, monitoring activity, and documenting problems, changes, and solutions.
• Assignments may include design of data dictionaries, database structure and layout, installing, upgrading, and managing database applications.
• Presents insights to both technical and non-technical team members and stakeholders, assisting in making informed, data-driven decisions.
• Collaborates with different teams to understand their data needs and create solutions that solve problems and streamline workflows.

WHAT YOU'LL NEED TO SUCCEED:

• BA/BS and 5+ years of relevant experience or equivalent years of experience
• In-depth knowledge of multiple freeware relational databases (i.e. MySQl, PostgreSQL, MariaDB, Etc.), custom database creation and management, the development of automated scripts and processes for gathering and populating data, and the ability to create customized database queries.
• Fluency (i.e. SME) in developing complex Tableau reports and drill downs within the reports to underlying supporting data.
• Experience in using multiple tools (i.e. both API and non-API) and approaches to perform database analytics and data structure alignment.
• Proficient in database administration and Structured Query Language (SQL).
• Ability to understand and discuss complex data structures designs to be utilized or reported.
• Experienced in data modeling and data normalization techniques.
• Experienced in different data structures, including relational databases, semi-structured, and object stores.
• Experienced in database migrations, including homogenous and heterogenous and on-prem and cloud.
• Proficient in Python to perform data analysis and engineering tasks.
• Skilled in programming languages like Python, R, SQL, and experience in working with data visualization tools like Tableau, Power BI, and Grafana.
• Excellent communication and presentation skills with the ability to present complex data insights to both technical and non-technical audiences.
• Good team player, able to manage multiple assignments, and adapt to changing client needs.

NICE TO HAVES:

• AWS Certified Solutions Architect Associate
• CompTIA Security+
• Azure Fundamentals
• Azure Data Fundamentals
• Knowledge of ITIL framework
• Knowledge of Agile methodology
• Experienced in working in AWS with AWS data and analytics services, such as RDS, DynamoDB, Redshift, Aurora, S3, and Database Migration Service (DMS).
• Demonstrated experience consulting with internal and external customers to understand business needs and make recommendations.
• Previous experience in the defense or government sector
• Familiarity with cloud services: AWS, Google Cloud, Microsoft Azure, etc.) and big data tools is plus.
• Experience in optimization algorithms and natural language processing is a plus.
• Data science and cloud certifications are a plus (Certified Data Scientist (CDS), AWS Certified Machine Learning - Specialty, Microsoft Certified: Azure Data Scientist Associate, IBM Data Science Professional)

GDIT IS YOUR PLACE:

• Full-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
• Collaborative teams of highly motivated critical thinkers and innovators

The likely salary range for this position is $93,500 - $126,500. 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.