Senior Data Engineer at Capitaltg · LumiJobs

Responsibilities

CTG is seeking a Senior Data Engineer to design, build, and maintain scalable, efficient data pipelines and systems following modern data engineering best practices. The Senior Data Engineer will partner with other Data Engineers to evaluate and prototype new tools and technologies, assessing their risks and benefits to deliver exceptional value to our clients.
Design, build, and maintain scalable data pipelines, ETL/ELT workflows, and data models using Python, Apache Spark (PySpark), dbt, SQL (PostgreSQL), and AWS Glue.
Develop and optimize AWS-native data platforms leveraging AWS Glue, Amazon EMR, Amazon MWAA (Apache Airflow), Lambda, Step Functions, Amazon S3, Redshift, RDS, DMS, and CloudWatch.
Build high-performance ingestion, transformation, and orchestration workflows for structured and semi-structured data using Apache Iceberg, Parquet, ORC, and Avro.
Design and optimize analytical data platforms using Amazon Athena, Trino, Hive, OpenSearch, and enterprise data catalog technologies.
Integrate enterprise and external data sources across relational and NoSQL platforms including PostgreSQL, Oracle, Redshift, GraphDB, and other NoSQL databases.
Build AI-enabled data solutions using Amazon Bedrock, RAG pipelines, and vector search technologies including Amazon S3 Vector and OpenSearch vector indexes.
Develop cloud infrastructure using CloudFormation (Infrastructure as Code), GitHub, Harness, and enterprise CI/CD pipelines while leveraging SNS, SQS, and EventBridge for event-driven architectures.
Improve the reliability, scalability, performance, and maintainability of enterprise data platforms through monitoring, troubleshooting, automation, and continuous optimization.
Support mission-critical analytics and reporting solutions within large-scale AWS-based federal data environments, implementing solutions that comply with FedRAMP and NIST 800-53 security controls.
Lead modernization initiatives migrating legacy platforms including IBM DataStage, Hadoop, RunDeck, and shell-based workflows to cloud-native AWS services.
Mentor junior engineers through technical guidance, architecture discussions, and code reviews while promoting engineering best practices.

Qualification

A strong communicatorCollaborativeBachelor's degree in Computer ScienceStrong hands-on experience withApache Spark (PySpark)AWS GlueDeveloping scalable data pipelinesExperience supporting analyticsStrong SQL skillsFull Time Employee Benefits

Required

A strategic data engineer who enjoys designing complex systems and solving complex challenges
Strong in modern cloud-based solution design
Comfortable balancing business needs with technical constraints and long-term strategy
A strong communicator
Collaborative, proactive, and comfortable navigating ambiguity
Bachelor's degree in Computer Science, Engineering, or a related technical field
9+ years of professional experience in data engineering or related domains
Strong hands-on experience with:
Apache Spark (PySpark), Python, SQL (PostgreSQL), and dbt for large-scale data engineering, ETL/ELT development, data transformation, and data modeling.
AWS Glue, Amazon EMR, Amazon MWAA (Apache Airflow), AWS Lambda, AWS Step Functions, Amazon S3, Amazon Redshift, Amazon RDS, AWS DMS, and Amazon CloudWatch.
Developing scalable data pipelines, workflow orchestration, and data integration solutions across enterprise environments.
Working with modern data lake technologies including Apache Iceberg and data formats such as Parquet, ORC, and Avro.

Preferred

Experience supporting analytics, data engineering, or modernization initiatives for financial regulators, capital markets, or other highly regulated environments is a plus.
Experience with Kafka (streaming/data pipelines)
Experience with Docker and Kubernetes for containerization and orchestration
Proficiency with Splunk for log aggregation and system monitoring
Experience using Terraform for infrastructure automation and management
Strong SQL skills, including performance tuning and complex query design
We are committed to offering a competitive salary for this position, with an estimated range of $130k to $165k annually. Please note that this range is intended to provide a general idea of what to expect; however, the final offer may vary based on experience, skills, and other factors. The stated range is not a guarantee and is subject to change.
Full Time Employee Benefits

Senior Data Engineer

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Capitaltg

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