Data Engineer

Summary

Join Analytica as a Data Engineer and work remotely supporting a federal government client in the DC metro area. You will be a key team member advancing the client's use of data and metadata, exploring new technologies to meet their needs. This role requires expertise in developing data solutions across the data lifecycle. Analytica is a fast-growing company recognized by Inc. Magazine, offering competitive compensation, bonuses, employer-paid healthcare, training funds, and 401k matching. You will collaborate with diverse teams, architect solutions, and develop data models and pipelines. The position offers opportunities for professional growth and development within a dynamic and inclusive environment.

Requirements

• Possess a Bachelor’s degree in computer science, information systems management or similarly related degree
• Have 5 years of professional data solutions development and implementation experience with AWS (Glue, Athena, API Gateway)
• Have 5 years of professional data solutions development and implementation experience with SQL, NoSQL
• Have 5 years of professional data solutions development and implementation experience with Data developments with modeling tools such as Neo4J, Erwin, Embarcadero, transforming logical, physical, conceptual, reverse engineering & forward engineering
• Have 5 years of professional data solutions development and implementation experience with Dashboard development and reporting with PowerBI
• Have 5 years of professional data solutions development and implementation experience with Data Movement tools such as Informatica & others
• Have 5 years of professional data solutions development and implementation experience with Jira and Confluence
• Have 5 years of professional data solutions development and implementation experience with Unit testing
• Have 5 years of professional data solutions development and implementation experience with RESTful API Development
• Demonstrate a desire and willingness to learn new data tools
• Possess an Agile mindset and iterative development process background
• Help promote a culture of diversity and inclusion within the department and the larger organization
• Value different ideas and opinions
• Listen courageously and remain curious in all that you do

Responsibilities

• Design and develop operational data store and master data management data model – Conceptual Data Model, Logical Data Model and Physical data model
• Construct and advance data loading capabilities of the system for both online and offline loading and mastering data
• Support, with guidance, the analytic and/or operational use of data
• Align closely with Enterprise partners in data science, architecture, governance, infrastructure, and security to apply standards and optimize production environments and practices
• Collaborate with business owners to optimize data collection, movement, storage, and usage to data process and data quality
• Advise consumers on making the best use of the data products for their respective use cases
• Convert concepts and ideas into workable prototypes (custom or COTS products) for client reviews and acceptance
• Translate business needs into data architecture solutions development within supported data systems
• Translate business needs into data orchestration pipelines (source to target analysis & recommendations), data sourcing, cleansing, augmentation and quality control processes within supported data systems
• Prototype, test and integrate new data tools (i.e. data features and functionality) as defined by the product owners and business teams
• Manage Data Modelers and/or Data Architects to ensure they are developing towards in their roles and meeting deliverables

Preferred Qualifications

• Have Prior experience with CMS data experience
• Have experience with SparxEA
• Have experience with Neo4j
• Have experience with AWS CDK and/or other AWS services (or comparable cloud data solutioning tools)
• Have experience with Git and CICD pipelines
• Have experience with Relational database design
• Have experience with Microservices / Containers (Docker, Kubernetes)
• Have experience with Informatica Intelligent Cloud Services (IICS)

Benefits

• Competitive compensation with opportunities for bonuses
• Employer paid health care
• Training and development funds
• 401k match