Job Description

Level Experienced Job Location Remote - Baltimore, MD 21244 Education Level 4 Year Degree Salary Range $114,000.00 - $152,250.00 Salary/year

The Data Engineer will assist in supporting and moving the existing ETL solution into a more modernized platform while providing direct guidance to other members of the team. This includes acting as a go-to resource when technical challenges arise and providing leadership and coordination as part of a project team of data engineers, Cloud Architects, analysts, and testers to implement a Snowflake environment to ingest a wide variety of data sources to for data analytics.

The Data Engineer determines structural, interface, and business requirements for developing and installing solutions. This includes the design of relational databases, other types of databases, and associated interfaces, used for data storage and processing. The Data Engineer develops warehouse and data mart implementation strategies, data acquisition, and archive recovery. In pursuit of system and service optimization, the Data Engineer may perform other duties, such as investigating new data products and technology, evaluating new data sources, and reviewing existing products and products under development for adherence to the organization's quality standards and ease of integration.

Responsibilities

• Design and onboard new ETL streams using AWS Glue and PySpark
• Migrate existing ETL streams from Databricks and Linux/Python scripts to AWS Glue
• Re-architect and incrementally improve the performance of ETL solutions without impacting the delivery of new features requested by the client
• Assist with development efforts to modernize data ingestion patterns
• Maintain existing ETL pipelines and debug pipeline failures
• Completing development tasks such as building custom reports, developing complex queries, ETL and data warehousing, and disseminating data to stakeholders.
• Cloud engineering, testing, DevOps, app support, data migrations, data loads, and scheduling jobs
• Work with DevSecOps team to set up any supporting infrastructure.
• Remediate security vulnerabilities in code identified through static code analysis or environment scanning.
• Data Modeling to support ingestion of a wide variety of CMS data sources and requirements from data analysts and other stakeholders
• Using Python and/or Linux shell to perform file management and other scripting tasks
• Optimizing existing processes to improve performance
• Work closely with product owners and DevOps to ensure compliance with SDLC processes
• Collaborate with business analysts to gather requirements, develop, and document business rules, create test scenarios to ensure properly working code, and communicate technical concepts for transparency

Qualifications

• US citizen or Authorized to work and lived in the US for 3 years out of the last 5 years.
• 5 years of relevant experience
• Bachelor’s Degree or equivalent OR 4 years’ relevant experience in lieu of degree
• Strong experience with Cloud platforms such as AWS
• Experience with AWS Glue a plus
• Very strong experience with Python or PySpark (2+ years)
• Writing Python or PySpark code for ETL processes
• Experience with AWS Lambda a plus.
• Experience working with semi-structured (XML, JSON, PARQUET) data
• Strong experience with SQL
• Deployment automation experience via CI/CD tools such as Aws Code Pipeline is a plus
• Experience with version control, preferably with GitHub
• Experience working within an Agile development environment or development and testing activities.
• Working knowledge of database security, audit, and RBAC controls
• Knowledge of Snowflake cloud database platform
• Hands-on experience with database performance tuning, clustering key analysis, sizing, and cost optimization
• SnowPro certification or AWS certifications are a plus
• Experience analyzing data and presenting information to stakeholders.
• Ability to obtain Public Trust level clear

  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

  If you are selected for an interview, please be advised that Index Analytics LLC reserves the right to prohibit the use of artificial intelligence (AI) tools, including but not limited to AI-generated responses, real-time transcription, or automated assistance during the interview process. We value authentic interactions and the opportunity to engage directly with candidates. Any unauthorized use of AI may result in disqualification from consideration.

  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.