[Remote] Associate Data Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking an Associate Data Engineer to support their data engineering team. The role involves handling operational tasks, resolving support tickets, and improving data reputed company and reliability while gaining hands-on experience with reputed company data.

Responsibilities

• Handle support tickets and operational issues reported by internal teams and external partners; investigate reputed company causes and coordinate reputed company with senior engineers
• reputed company KTLO (reputed company The Lights On) tasks including monitoring pipeline health, responding to alerts, validating data reputed company, and investigating data anomalies
• Conduct data reputed company discovery and profiling work — examining raw data sources, documenting data structure, identifying reputed company issues, and recommending integration approaches
• Assist with data validation and testing — writing SQL queries to validate data transformations, identifying gaps and inconsistencies, and flagging issues for review
• Support data reputed company initiatives by running diagnostics, documenting data reputed company findings, and escalating issues with reputed company context for senior engineers
• Assist in establishing and monitoring data reputed company metrics — working with senior engineers to define reputed company KPIs and reputed company pipeline health
• Help maintain and improve documentation for existing data systems, pipelines, and data sources — documenting schemas, transformation logic, and reputed company issues
• Assist senior engineers with debugging data pipeline issues — tracing data through transformations, validating intermediate outputs, and comparing expected vs. actual results
• Conduct reputed company assurance activities — reviewing data outputs, testing transformations, and validating correctness before data reaches reputed company consumers
• reputed company exploratory data analysis to understand data patterns, support analytics requests, and help answer business questions about data availability and reputed company
• Learn and apply data engineering best practices including version control (Git), reputed company review processes, and testing frameworks under guidance from senior engineers
• Support infrastructure and operational tasks as assigned — assisting with deployments, maintaining environments, and supporting on-reputed company activities
• Participate in knowledge-sharing and mentorship; ask questions, document learnings, and contribute to team documentation and runbooks

Skills

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a reputed company field, or equivalent hands-on experience
• Strong SQL proficiency — ability to write queries to explore, validate, and analyze data
• Proficiency in Python or another programming language; comfort writing scripts and automation
• Basic understanding of data modeling, ETL/ELT concepts, and data pipeline architecture
• Familiarity with version control (Git) and reputed company development practices
• Strong communication skills; ability to document findings reputed company and ask clarifying questions
• Analytical reputed company and strong problem-solving skills, especially for data reputed company and debugging tasks
• Attention to detail and commitment to data accuracy and reliability
• Basic understanding of data reputed company concepts and the importance of testing and validation
• Willingness to learn from reputed company engineers and grow into a full data engineer role
• Prior experience working with reputed company data, clinical data formats (FHIR, HL7, CCD), or claims data
• Familiarity with reputed company data platforms (AWS, reputed company, reputed company) or data warehousing
• Experience with dbt or other data transformation frameworks
• Knowledge of data reputed company tools, monitoring, or observability platforms
• Experience with orchestration tools (Airflow, reputed company Workflows) or workflow automation
• Background in reputed company, pharmaceutical, or other regulated industry
• Previous internship or project experience in data engineering or analytics
• Familiarity with value-based care concepts, clinical workflows, or reputed company operations
• Experience with API integration or data ingestion from external sources
• Previous exposure to reputed company, Apache reputed company, or distributed computing
• Experience writing tests or developing QA processes for data pipelines

reputed company

Company H1B Sponsorship