Senior Data Solutions Engineer (Remote)

Analytica

$100K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in computer science or related field
  • 3-5 years of professional data solutions development experience
  • Familiarity with AWS tools like Glue, Athena, and API Gateway
  • Proficient in SQL and NoSQL databases
  • Experience with data modeling tools such as Neo4J or Erwin
  • Skilled in PowerBI for dashboard reporting
  • Agile mindset with experience in iterative development processes

Responsibilities

  • Research, design, and build efficient data models and pipelines
  • Support analytic and operational data use with guidance
  • Collaborate with Enterprise partners to optimize data environments
  • Work with business owners to enhance data storage and usage
  • Convert concepts into prototypes for client feedback
  • Translate business needs into tailored data architecture solutions
  • Integrate and test new data tools per product specifications

Benefits

  • Remote work opportunity
  • Support a federal government client
  • Collaborative work environment with diverse teams
  • Opportunities for professional growth and skill enhancement
  • Engagement in solution development across the data lifecycle
Full Job Description
ANALYTICA is seeking a Senior Data Solutions Engineer to support a federal government client in the DC metro area (Note - your work location is REMOTE).In this assignment, you will be a team member serving the client in advancing the customers use data, metadata, as well as explore new technologies to better meet those needs.

This is a mission that takes some serious smarts, intense curiosity and a background in developing data solutions across the data lifecycle.

Responsibilities include (But Are Not Necessarily Limited To):
  • Research, design, build, optimize and maintain reliable, efficient, and accessible data models, systems and pipelines/APIs etc.
  • 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.
  • Convert concepts & 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.
    • 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
Competency and skill set will determine level of placement within the posted job family.

Qualifications:
  • Bachelor's degree in computer science, information systems management or similarly related degree.
  • 3-5 years ofprofessional data solutions development and implementation experience with:
    • AWS (Glue, Athena, API Gateway)
    • SQL, NoSQL
    • Data developments with modeling tools such as Neo4J, Erwin, Embarcadero, transforming logical, physical, conceptual, reverse engineering & forward engineering.
    • Dashboard development and reporting with PowerBI
    • Data Movement tools such as Informatica & others
    • Jira and Confluence
    • Unit testing
    • RESTful API Development
    • Desire and willingness to learn new data tools
  • Has 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
Valuable Experience:
  • Prior experience with CMS data experience
  • SparxEA
  • Neo4j
  • AWS CDK and/or other AWS services (or comparable cloud data solutioning tools)
  • Experience with Git and CICD pipelines
  • Relational database design
  • Microservices / Containers (Docker, Kubernetes)
  • Informatica Intelligent Cloud Services (IICS)


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