Data Engineer

Client: UST Globa;/Elevance Health

Location: Remote

Duration: 8 months

$30/Hr on C2C

No H1B

Must Have Skills:

Skill 1 – Yrs of Exp – 6+ - data engineering / data operations / ETL support roles (or strong internship/co-op equivalent). - support Lights On (production support) operations for data platforms and pipelines in the CarelonRx area.

Skill 2 - Yrs of Exp – 6+ - SQL: Ability to write and troubleshoot SQL queries for validation and investigation. Break a fix & Maintenance, Operational Data Loads & Inputs, User/Access Support

SKill 3 - Yrs Of Exp - 6+ - Python: Basic scripting ability for data checks, automation, and support tasks & Compliance / Security Support, Documentation & Handoffs

SKill 4 - Yrs Of Exp - 6+ - Data Pipelines / ETL Basics & : Maintain runbooks/knowledge articles, document fixes, and provide clear handoffs across shifts/teams.

Good to Have (Preferred):

Exposure to modern data platforms (e.g., Databricks/Snowflake) and orchestration tools. (Best-practice suggestion; your org has internal material around Databricks pipelines, which is relevant to DE foundations.)

Familiarity with ticketing/ITSM processes and production support practices. (Best-practice suggestion.) Understanding of data governance concepts. (Best-practice suggestion.)

Domain Experience – Good to have healthcare experience

Key Responsibilities (What you all do)

Production Support / Incident Investigation: Triage and investigate data-related incidents, identify root causes, and work with senior engineers to implement fixes.

Break a fix & Maintenance: Support correction of production defects and perform ongoing maintenance work to preserve operational integrity of systems/services.

Operational Data Loads & Inputs: Execute and validate routine data loads/inputs and assist in ensuring successful processing and completion.

User/Access Support (as applicable): Assist with operational tasks such as user ID creation and access-related support where part of the service scope.

Compliance / Security Support: Participate in system audit support, testing activities, and security/vulnerability remediation tasks under guidance.

Documentation & Handoffs: Maintain runbooks/knowledge articles, document fixes, and provide clear handoffs across shifts/teams. (Best-practice suggestion; not explicitly stated in sources.)

Special Requests: Support mandates/special projects assigned within Lights On scope.

Required Skills & Qualifications Experience:

3+ years in data engineering / data operations / ETL support roles (or strong internship/co-op equivalent). (Best-practice suggestion.)

SQL: Ability to write and troubleshoot SQL queries for validation and investigation. (Best-practice suggestion.)

Python: Basic scripting ability for data checks, automation, and support tasks. (Best-practice suggestion.)

Data Pipelines / ETL Basics: Familiarity with batch processing concepts, data quality checks, and troubleshooting failed jobs. (Best-practice suggestion.)

Operational Mindset: Comfortable working on support queues, handling incidents, and following defined processes. (Best-practice suggestion.)

Good to Have (Preferred) Exposure to modern data platforms (e.g., Databricks/Snowflake) and orchestration tools. (Best-practice suggestion; your org has internal material around Databricks pipelines, which is relevant to DE foundations.)

Familiarity with ticketing/ITSM processes and production support practices. (Best-practice suggestion.) Understanding of data governance concepts. (Best-practice suggestion.)