Data Engineer Stf - E4
Amazon Web Services
Analytics
Azure
Business Intelligence
Cloud
Cloud Computing
Cloud Data Engineering
Cloud Data Platform
Cloud Platform
Cloud Platforms
Cloud Platforms Cloud Platforms
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Engineering
Data Integration
Data Pipeline
Data Platform
Data Processing
Data Visualization
Data Warehouse
Database
Databases
Digital Marketing
Engineer
ETL
Informatica
Information Technology (IT)
IT Services
Programming
Programming Language
Programming Languages
Reporting and Analytics
SQL
Job Description
Lockheed Martin offers a flexible onsite work arrangement in Stratford, CT, including options such as 4x10 schedules. This Data Engineering role spans end to end data delivery, with a focus on building reliable systems that can collect, ingest, process, store, persist, access, and deliver data at scale and speed. The position also includes a comprehensive benefits package covering medical, dental, vision, time off, parental leave, disability coverage, and multiple financial and educational support options.
Salary range: USD 118,000 - 219,100 per year.
Responsibilities
- Deliver full-stack data solutions across the entire data processing pipeline.
- Design and implement solutions across the full data lifecycle: collect, ingest, process, store, persist, access, and deliver data at scale and speed.
- Build data pipelines that clean, transform, and aggregate unorganized data into databases or data sources ready for analysis.
- Define data solution capabilities including security, backup, and recovery specifications.
- Work through lifecycle stages such as analyzing and profiling data, producing conceptual, logical, and physical data model designs, and architecting and designing ETL, reporting, and analytics.
- Maintain data system performance by identifying and resolving production and application development problems, calculating optimum parameter values, and evaluating, integrating, and installing new releases.
- Define standards, best practices, and certification processes for data objects.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, Data Science, or a related technical field; equivalent experience may be accepted in place of the degree.
- 3+ years building and maintaining data pipelines and processes in production.
- Strong SQL skills and experience with relational databases such as SQL Server, Oracle, PostgreSQL, or MySQL.
- Experience supporting reporting and analytics tools such as Tableau or SSRS.
- Hands-on experience with data modeling and schema design.
Technologies
- SQL, SQL Server, Oracle, PostgreSQL, MySQL
- Tableau, SSRS
- Python, Git, AWS, Azure, GCP
- OpenShift, ETL
Desired Skills
- Programming experience in Python.
- Knowledge of Git and the software development lifecycle.
- Knowledge of a major cloud platform: AWS, Azure, or GCP, including its data services.
- Knowledge deploying and managing containerized data workloads on OpenShift.
Benefits
- Medical, Dental, Vision
- Flexible work arrangements and schedules (e.g., 4x10)
- 401(k) match
- Paid time off, Holidays
- Parental Leave
- EAP
- Flexible Spending Accounts
- Education Assistance
- Life Insurance
- Short-Term Disability, Long-Term Disability
- Annual short-term and/or long-term incentive compensation programs may be offered depending on the position