Associate Data Engineer
3d Design Tools
Apache Airflow
Automation
Aws Data Warehouse
Azure Synapse Analytics
Big Data
Bigdata
Cloud
Cloud Data Engineering
Cloud Data Platform
Cloud Data Warehouse
Cloud Data Warehouse
Cloud Native
Cloud Operations
Cloud Platform
Cloud Platforms
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Engineering
Data Integration
Data Lakehouse
Data Pipeline
Data Pipelines
Data Platform
Data Processing
Data Warehouse
Data Warehousing
Database
Databases
Databricks
ETL
Event Driven Architecture
Google Cloud
Google Cloud Bigquery
Informatica
Information Technology (IT)
Integration
Programming Language
Programming Languages
Rendering Engines
Snowflake
Software Development
Spark
SQL
Streaming Data
Workflow Orchestration
Job Description
The Associate Data Engineer will contribute to the design, development, testing, and ongoing support of data integration solutions, including ETL/ELT processes and data pipelines. This role operates under guidance from senior team members and works alongside solution architects, business analysts, and senior data engineers in Agile delivery teams.
Responsibilities
- Develop and maintain ETL/ELT jobs, workflows, and data pipelines.
- Perform data extraction, transformation, and loading from multiple source systems.
- Create and run unit tests, integration tests, and data validation scripts.
- Support User Acceptance Testing (UAT) and assist with issue resolution.
- Monitor data pipelines and troubleshoot data processing issues.
- Conduct data cleansing, profiling, and validation activities.
- Build SQL queries, stored procedures, and scripts to support reporting and analytics.
- Assist in implementing data quality controls and data governance standards.
- Support cloud migration and modernization initiatives.
- Collaborate in Agile delivery teams with solution architects, business analysts, and senior data engineers.
Requirements
- 2 years of experience in data engineering, software development, analytics, or a related technical role.
- SQL development and query optimization.
- Basic Python programming and scripting.
- Understanding of relational databases.
- Familiarity with ETL/ELT concepts.
- Basic understanding of data warehousing concepts.
- Knowledge of data quality and validation techniques.
- Understanding of Agile development methodologies.
- Bachelor’s degree in Computer Science, Information Technology, Engineering, Mathematics, or a related discipline.
Technology Stack
- ETL/ELT, SQL, Python
- Snowflake, Azure Synapse, Databricks, BigQuery, Redshift
- Azure, AWS, GCP
- Airflow, Data Factory, Informatica, Talend, SSIS
- Spark, Hadoop, Kafka
- DevOps, DataOps
Preferred
- Experience with Snowflake, Azure Synapse, Databricks, BigQuery, Redshift, or similar platforms.
- Exposure to cloud platforms such as Azure, AWS, or GCP.
- Experience with Airflow, Data Factory, Informatica, Talend, SSIS, or equivalent data integration tools.
- Exposure to Spark, Hadoop, or Kafka.
- Knowledge of DevOps and DataOps practices.
Compensation
The base compensation range for this role in the posted location is $54,380 - $99.650 per year.
Benefits
- Paid time off based on employee grade (A-F), defined by policy: Vacation 12-25 days depending on grade, company-paid holidays, personal days, and sick leave.
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada).
- Retirement savings plans (for example, 401(k) in the U.S. or RRSP in Canada).
- Life and disability insurance.
- Employee assistance programs.
- Other benefits as provided by local policy and eligibility.
Job Location
Onsite in Nashville, TN.
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