
Data Engineer
Capital Technology Group
Completely RemoteFull TimeInformation Technology
Posted Today
Job description
Responsibilities
- Design, build, and maintain scalable data pipelines, ETL/ELT workflows, and data models using Python, Apache Spark, Databricks, dbt, and SQL
- Develop and optimize AWS-native data platforms leveraging Glue, EMR, Airflow, Lambda, and Redshift
- Build high-performance ingestion and orchestration workflows using Apache Iceberg, Parquet, and Avro
- Design analytical data platforms using Amazon Athena, Trino, and Hive
- Build AI-enabled data solutions using Amazon Bedrock, RAG pipelines, and vector search technologies
- Develop cloud infrastructure using CloudFormation (IaC), GitHub, and CI/CD pipelines
- Support mission-critical analytics within AWS-based federal data environments complying with FedRAMP and NIST 800-53
- Lead modernization initiatives migrating legacy platforms like IBM DataStage and Hadoop to cloud-native AWS services
- Mentor junior engineers through technical guidance and code reviews
Requirements
- US Citizenship required (must be able to obtain Public Trust clearance)
- Bachelor's degree in Computer Science, Engineering, or a related technical field
- 4+ years of professional experience in data engineering
- Hands-on experience with Databricks, PySpark, Python, SQL, and dbt
- Proficiency with AWS services including Glue, EMR, MWAA, Lambda, S3, and Redshift
- Experience with modern data lake technologies like Apache Iceberg and Parquet
- Experience with relational and NoSQL databases (PostgreSQL, Oracle, GraphDB)
- Experience working in Agile, iterative software development environments
Preferred Qualifications
- Experience with Kafka for streaming pipelines
- Experience with Docker and Kubernetes
- Proficiency with Splunk for monitoring
- Experience using Terraform for infrastructure automation
- Experience in highly regulated environments like financial regulators or capital markets
Benefits
- Remote Work
- Medical, Dental, and Vision
- 401(k) with 4% matching
- Liberal PTO vacation policy
- Generous Annual Continuing Education
- Annual Wellness Budget
- Bonus Incentive Programs
Skills & tools
PythonAWSDatabricksApache SparkSQL
What the team is looking for
Use this list as a quick fit check before you apply.
- 01US Citizenship
- 02Public Trust clearance eligibility
- 03Bachelor's degree in CS or Engineering
- 044+ years data engineering experience
- 05Proficiency in Python, SQL, and PySpark
- 06AWS ecosystem expertise
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Capital Technology Group
Job details
- Work model
- Completely Remote
- Commitment
- Full Time
- Category
- Information Technology
- Posted
- Today
AdWake up to a shortlist, not a search results page.
NeverApply scores every new listing against your CV, salary floor and visa. A handful of real matches by morning.
Get your daily matches