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Data Engineer – ETL & Cloud Data Platforms jobs in United States
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IQVentures · 1 day ago

Data Engineer – ETL & Cloud Data Platforms

IQVentures is an established, profitable technology and financial services company serving clients nationwide. They are seeking a highly skilled Data Engineer focused on building, optimizing, and maintaining enterprise-grade ETL/ELT pipelines using AWS Glue and Databricks to support business intelligence and advanced analytics.
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Responsibilities

Build, optimize, and operate scalable ETL/ELT pipelines using AWS Glue, Databricks, Spark, and Amazon S3
Transform raw, structured, and semi-structured data into analytics-ready datasets that power BI, reporting, and advanced analytics
Design and maintain modern lakehouse architectures, including bronze, silver, and gold data layers
Develop Spark workloads using Python (PySpark) and SQL, leveraging Delta Lake features such as ACID transactions, schema evolution, and time travel
Automate and orchestrate reliable data workflows using Glue Workflows, Step Functions, Databricks Jobs, or equivalent tools
Optimize performance, reliability, and cost across clusters, jobs, and pipelines
Implement monitoring, logging, alerting, and recovery processes to ensure pipeline health and data quality
Apply strong data governance and security practices, including IAM, encryption, access controls, validation, lineage tracking, and compliance support (SOX, PCI, SOC2)
Collaborate closely with Analytics, BI, Data Science, and Application teams to translate business needs into scalable data solutions
Participate in code reviews and architecture discussions, contributing to platform standards and best practices

Qualification

AWS GlueDatabricksApache SparkPython (PySpark)SQLAmazon S3Data modelingDelta LakeOrchestration toolsVersion control (Git)CI/CD pipelinesInfrastructure as codeTroubleshooting skillsProblem-solving skillsCommunication skillsCollaboration skills

Required

3+ years of experience in data engineering, ETL development, or cloud data platforms
Hands-on experience with AWS Glue, Databricks, and Apache Spark
Strong proficiency in Python (PySpark) and SQL
Experience building and managing data lakes on Amazon S3
Understanding of data modeling concepts, including star schema and dimensional modeling
Experience with Delta Lake, lakehouse architecture, and/or Unity Catalog
Familiarity with orchestration tools such as AWS Step Functions, Airflow, or equivalents
Knowledge of streaming pipelines (Kafka, Kinesis, Auto Loader) is a plus
Experience working with version control (Git), CI/CD pipelines, and infrastructure as code (Terraform or CloudFormation)
Comfort working in regulated environments such as financial services, healthcare, or PCI
Familiarity with CloudWatch and Databricks Job Monitoring
Strong troubleshooting and performance-tuning skills
Excellent problem-solving, communication, and collaboration skills
Ability to manage multiple priorities with a self-starter mindset and strong attention to detail
Passion for data quality, reliability, and well-designed platforms

Preferred

Databricks or AWS certifications are a plus

Benefits

401(k)
401(k) matching
Dental insurance
Health insurance
Life insurance
Paid time off
Vision insurance

Company

IQVentures

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iQventures innovates, creates, and operates intelligent communications solutions.

Funding

Current Stage
Growth Stage
Company data provided by crunchbase