Data Engineer
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Before you apply
LocationBCC-Bethesda, Bethesda, MD
Typefull-time
SeniorityMid
Experience4+ yrs
DepartmentPlatform & DevOps
Company size201–500 people
PostedSep 25, 2026 · 1mo ago
Verified live17h ago
At a glanceSummarised by Seekless from the posting.
4+ years of relevant data engineering or software engineering experience
Strong hands-on experience with Python
Strong hands-on experience with SQL
Strong hands-on experience with DuckDB
Strong hands-on experience with Apache Iceberg
Experience developing production ETL/ELT pipelines across databases, APIs, files, and semi-structured data sources
Experience implementing bronze/silver/gold or comparable layered data architectures
Experience designing reusable, metadata-driven ingestion and transformation pipelines
Experience with AWS data services, particularly Amazon S3 and AWS Glue
Experience with data modeling, source-to-target mappings, data quality, reconciliation, and schema evolution
Experience developing or implementing agentic or AI-enabled data engineering workflows, including the use of AI agents or LLMs to assist with data engineering tasks
Experience with Git-based development, automated testing, and CI/CD
Experience with agentic frameworks such as LangChain, LangGraph, or similar orchestration frameworks
Experience with Kafka, Amazon MSK, or CDC technologies
Experience integrating Salesforce, ServiceNow, Microsoft Dataverse, or similar enterprise platforms
Experience with OpenSearch, vector stores, or document-processing pipelines
Experience with GeoParquet, PostGIS, or geospatial datasets
Experience working in the U.S. Federal Government space
Experience with permitting, regulatory, land management, environmental, energy, or natural-resource datasets
Skills
Python
SQL
DuckDB
Apache Iceberg
AWS
Amazon S3
AWS Glue
Git
CI/CD
LangChain
LangGraph
Kafka
Amazon MSK
CDC
Salesforce
ServiceNow
Microsoft Dataverse
OpenSearch
GeoParquet
PostGIS
Benefits
Medical
Dental
Vision
401(k)
Paid holidays
Vacation
Tuition reimbursement
Overview
Black Canyon Consulting (BCC) is searching for a Data Engineer to support the design, development, and maintenance of data infrastructure that enables artificial intelligence, machine learning, and analytical workloads. The Data Engineer will help ensure that data is reliable, accessible, scalable, and operationally ready throughout the full lifecycle from ingestion through deployment.
Job Description
The Data Engineer will design, implement, maintain, and optimize data pipelines, APIs, data transformation workflows, and supporting infrastructure. This position will work with databases, data lakes, data warehouses, feature stores, and other data platforms to ensure information can be efficiently ingested, transformed, accessed, and used by analytical and AI-enabled systems.
The Data Engineer will also develop and maintain ETL/ELT processes, feature engineering workflows, and service layers that expose data or model endpoints to downstream systems and applications.
Duties and Responsibilities
•
Develop and maintain data ingestion and transformation pipelines using Python and SQL.
•
Implement bronze, silver, and gold data processing patterns using DuckDB and Apache Iceberg.
•
Build reusable, metadata-driven capabilities for ingesting data from databases, APIs, files, SaaS platforms, CDC, and event-driven sources.
•
Develop configuration-driven source onboarding and source-to-canonical data mappings.
•
Transform heterogeneous source data into standardized and governed data models while maintaining source provenance and traceability.
•
Implement agentic and AI-enabled workflows to support source profiling, schema analysis, data mapping, pipeline generation, testing, troubleshooting, reconciliation, and data quality.
•
Develop automated data validation, reconciliation, testing, monitoring, and error-handling capabilities.
•
Support incremental processing, schema evolution, backfills, and historical data migration.
•
Integrate structured data with related document and geospatial datasets where required.
•
Work with the Data Architect and Lead Data Engineer to implement common engineering standards and reusable platform patterns.
•
Participate in code reviews, automated testing, CI/CD, technical documentation, and operational support.
Requirements
•
4+ years of relevant data engineering or software engineering experience.
•
Strong hands-on experience with Python, SQL, DuckDB, and Apache Iceberg.
•
Experience developing production ETL/ELT pipelines across databases, APIs, files, and semi-structured data sources.
•
Experience implementing bronze/silver/gold or comparable layered data architectures.
•
Experience designing reusable, metadata-driven ingestion and transformation pipelines.
•
Experience with AWS data services, particularly Amazon S3 and AWS Glue.
•
Experience with data modeling, source-to-target mappings, data quality, reconciliation, and schema evolution.
•
Experience developing or implementing agentic or AI-enabled data engineering workflows, including the use of AI agents or LLMs to assist with data engineering tasks.
•
Experience with Git-based development, automated testing, and CI/CD.
Bonus Skills
•
Experience with agentic frameworks such as LangChain, LangGraph, or similar orchestration frameworks.
•
Experience with Kafka, Amazon MSK, or CDC technologies.
•
Experience integrating Salesforce, ServiceNow, Microsoft Dataverse, or similar enterprise platforms.
•
Experience with OpenSearch, vector stores, or document-processing pipelines.
•
Experience with GeoParquet, PostGIS, or geospatial datasets.
•
Experience working in the U.S. Federal Government space.
•
Experience with permitting, regulatory, land management, environmental, energy, or natural-resource datasets.
Benefits and Salary
We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition reimbursement.
If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!
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