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Data Engineer

Remote: 
Full Remote
Contract: 
Salary: 
106 - 189K yearly
Experience: 
Mid-level (2-5 years)
Work from: 
Maryland (USA), United States

Offer summary

Qualifications:

US citizen or resident for 3 of last 5 years, Bachelor’s degree in IT or relevant discipline, 4+ years of IT experience, 3+ years working with AWS, GCP or Azure, Experience with data pipelines using Python or SQL.

Key responsabilities:

  • Lead design and management of data pipelines
  • Develop ETL/ELT processes and code
  • Support robust Data Integration Architecture
  • Optimize data flow for cross-functional teams
  • Translate business requirements into technical specifications
Index Analytics LLC logo
Index Analytics LLC SME https://www.index-analytics.com/
51 - 200 Employees
See more Index Analytics LLC offers

Job description

Job Details
Level:    Experienced
Job Location:    Remote - Baltimore, MD
Education Level:    4 Year Degree
Salary Range:    $106,250.00 - $189,079.46 Salary/year
Data Engineer

Index Analytics, LLC, is a rapidly growing Baltimore-based small business providing health related consulting services to the federal government. At the center of our company culture is a commitment to instilling a dynamic and employee-friendly place to work.  We place a priority on promoting a supportive and collegial team environment and enhancing staff’s experience through career development and educational opportunities.

 

Job Overview

Index Analytics is seeking a Data Engineer to support Government clients in the Baltimore and Washington D.C. Metro Area.  The Data Engineer will expand and optimize data and data pipeline architecture, as well as optimize data flow and collection for cross functional teams. 

 

Responsibilities

  • Leads design, implementation, and management of data pipelines
  • Develops and executes ETL (extract, transform, load) or ELT code
  • Supports design of robust Data Integration Architecture to support customers 
  • Helps monitor and administer the systems and ensures applications and systems are always functioning properly 
  • Analyzes the Data Integration and Engineering architecture to identify weaknesses and develops improvements such as enhancing business processes
  • Identifies and analyzes business requirements, functional design, and translation of requirements to technical specifications
  • Performs complex query design, developments, validation routine analysis, and streamlining processes
  • Operates large data sets, delta data sets and querying efficiently
  • Transforms, joins, and normalizes data in service of specific use cases.
  • Employs AWS data pipeline solutions such as Glue, Data Pipeline, Step functions, MWAA to orchestrate data movement
  • Work with DevSecOps engineer to deploy continuous integration and continuous deployment (CI/CD) data pipelines
  • Understand the technical architecture to design, build, optimize, and maintain scalable data solutions in a Big Data environment
  • Work with Product Owners and/or business stakeholders to gather business requirements and translate to detailed technical specifications  
Qualifications

  • US citizen, or lived in the US for 3 of the last 5 years
  • Bachelor’s degree or higher in IT or relevant discipline required
  • 4+ years of IT experience
  • Experience with setting up and operating data pipelines using Python or SQL
  • 3+ years of experience working on AWS, GCP or Azure (AWS Preferred) cloud platforms
  • Hands-on relational DB / NoSQL experience (PostgreSQL or similar) with specific implementation on cloud 
  • Experience working with data warehouses such as Redshift to open source and proprietary cloud data pipeline tools such as Airflow, Glue, Data Pipeline, Step functions
  • Experience working with relational databases that handle structured and semi-structured (JSON) datasets
  • Experience with data serialization languages such as JSON, XML, YAML
  • Experience with code management tools (e.g. Git, SVN) and DevOps tools (e.g. Jenkins, Docker, AWS Code Pipeline)
  • Strong analytical problem-solving ability
  • Working experience with Transactional and Dimensional data modeling methodologies (Eg: Normalization, Star Schema, Snowflake Schema) 
  • Experience working with a distributed computing environment like AWS EMR or similar. 
  • Ability to obtain Public Trust level clearance
  • Ability to demonstrate excellent written and oral communication required
  • Prior experience with Center for Medicare Medicaid Services or other Govt agencies is a plus

 

 

The salary range provided represents the estimated compensation for new hires in this position, applicable across all locations. Actual offers may vary based on factors such as the candidate's skills, qualifications, experience, and market conditions. Index complements its base salary offering with a competitive package that includes health and retirement benefits, discretionary bonuses, and reimbursement for professional development opportunities.

 

Index Analytics provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

 

Attention Candidates

 

We're dedicated to ensuring a safe and transparent recruitment process for all candidates and have implemented robust measures to protect your personal information. Please be aware that all employment-related communications will originate from a secure portal (NAME@msg.paycomonline.com) or a corporate email address (NAME@index-analytics.com). If you have any concerns, please don't hesitate to reach out to us at recruiting@index-analytics.com

 

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Verbal Communication Skills
  • Analytical Thinking

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