Data Engineer (BigQuery)

Northramp LLC

Washington

Hybrid

USD 120,000 - 180,000

Full time

12 days ago

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Benefits offered by this job

Health Care Plan (Medical, Dental &amp

Vision

Retirement Plan (401k, IRA)

Life Insurance (Basic, Voluntary & AD&

Paid Time Off (Vacation, Sick & PH

Family Leave (Maternity, Paternity)

Short Term & Long Term Disability

Training & Development

Work From Home

Wellness Resources

Employee Bonus Programs

Job summary

Northramp is seeking a Data Engineer to design and operate cloud-native data pipelines, warehousing, and integration layers across IaaS, PaaS, and SaaS environments. The role centers on modern cloud data platforms with BigQuery as the primary analytics warehouse, enabling enterprise reporting, AI/ML, and program management data needs.

The Ideal Candidate will design production-grade pipelines, ensure data quality, and work within access controls and compliance requirements of a federal

Qualifications

3–6 years of hands-on data engineering experience in cloud data platforms.
Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field.

Responsibilities

Design, build, and maintain scalable ELT/ETL data pipelines to BigQuery and other cloud warehouses.
Develop and manage data models, schemas, and transformation logic using dbt, SQL, and Python.
Implement and operate pipeline orchestration using Airflow or Cloud Composer; monitor SLA adherence.

Skills

SQL

BigQuery

Python

dbt

Airflow

Cloud platforms

Data modeling

Data pipelines

Education

Bachelor's degree in Computer Science or related field

Tools

BigQuery

dbt

Airflow / Cloud Composer

Python

GCS / S3 / Azure Storage

Job description

Opportunity Overview

Northrampis seeking a Data Engineer to join the team supporting a mission-critical effort toconsolidate, modernize, andoperateour client’senterprise cloud services across IaaS, PaaS, and SaaS environments.

You will design andoperatecloud-native data pipelines, warehousing, and integration layers that make the client’s data accessible, reliable, and analytics-ready. The role centers on modern cloud data platforms — withBigQueryas the primary analytical data warehouse — supportingtheclient’senterprise reporting, AI/ML, and program management data needs.

This role is part of Northramp’s integrated delivery model, where engineers and advisors work as one team to bring sound judgment, disciplined execution, and deep federal experience to high-stakes modernization programs.

Location & Work Arrangement

Hybrid, based in the Washington, DC metro area. On-site presence at designated client locations is expected on a cadence aligned to program needs. Remote work is supported around mission and security requirements. This role is not open to candidates outside the DC, Maryland, and Virginia region.

The Ideal Candidate

You build data pipelines that run reliably in production — not just demos. You’ve designed schemas and ingestion pipelines against messy, real-world source systems, you understand data quality as an engineering discipline, and you can work comfortably within the access controls and compliance requirements of a federal environment.

Key Responsibilities

Design, build, and maintain scalable ELT/ETL data pipelines ingesting structured and semi-structured data from cloud services, APIs, databases, and file sources into BigQuery and other cloud data warehouses.
Develop and manage data models, schemas, and transformation logic using dbt (data build tool), SQL, and Python; enforce testing and documentation standards across the data layer.
Implement and operate pipeline orchestration using Apache Airflow (Cloud Composer), Prefect, or equivalent; monitor pipeline health, SLA adherence, and failure alerting.
Integrate data platforms with upstream source systems including cloud-native services (AWS RDS, Azure SQL, GCS/S3), operational databases, and third‑party SaaS APIs.
Implement data access controls, column‑level security, and encryption within BigQuery and related cloud storage services aligned to FedRAMP High and FISMA requirements.
Build and maintain data cataloging and lineage metadata practices to support data governance and auditability requirements.
Collaborate with Data Scientists and analysts to ensure data availability, schema stability, and performance of analytical workloads.
Develop and maintain infrastructure‑as‑code for data platform components using Terraform; participate in CI/CD pipeline integration for data assets.
Support data quality frameworks — profiling, anomaly detection, and SLA monitoring — across production data pipelines.
Contribute to ATO documentation and data security controls including data classification, retention policies, and audit logging.

Required Qualifications

3 to 6 years of progressive, hands‑on experience in data engineering with a focus on cloud data platforms and pipeline development.
Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Mathematics, or a related field. Relevant experience may substitute.
Strong SQL skills and hands‑on experience with BigQuery as an analytical data warehouse; familiarity with BigQuery optimization (partitioning, clustering, materialized views).
Proficiency in Python for data engineering tasks (ingestion, transformation, pipeline scripting).
Experience with dbt for data transformation and modeling in cloud warehouse environments.
Hands‑on experience with pipeline orchestration tools: Apache Airflow, Cloud Composer, or equivalent.
Working knowledge of cloud storage and data services across at least one major cloud provider (GCS, S3, Azure Blob Storage, Cloud Spanner, Redshift, or equivalent).
Understanding of data modeling principles (dimensional modeling, data vault, or similar) and schema design for analytical workloads.
Familiarity with data governance concepts — cataloging, lineage, access controls, retention — and their application in regulated environments.
Knowledge of FedRAMP, FISMA, and NIST 800-53 data security requirements.
U.S. Citizenship and the ability to obtain and maintain a DHS suitability / Public Trust clearance.

Desired Qualifications

Google Cloud Professional Data Engineer certification.
AWS Certified Data Analytics Specialty or Azure Data Engineer Associate.
Security+ or equivalent certification.
Experience with streaming data platforms (Pub/Sub, Kafka, Kinesis).
DHS, or other federal data engineering experience.
Active Public Trust or higher clearance.

Clearance

DHS suitability and a Public Trust background investigation are required for this role. Active Public Trust or higher clearance is preferred. Selected applicants will be subject to a security investigation and may need to meet eligibility requirements for access to controlled or classified information.

About Northramp

Northramp is a federal consulting firm that helps agencies modernize and operate mission‑critical systems with sound judgment, disciplined execution, and deep federal experience. We specialize in high‑stakes digital transformation in highly regulated environments where failure is not an option. Our integrated delivery model brings engineers and advisors together as one team, combining technical depth with an operator’s mindset to move organizations from strategy to execution with confidence.

We hold high standards because our clients’ missions demand it, and we support our people in meeting them. Northramp is where you are challenged, trusted, and supported — a place for people who take pride in their work, value clarity and follow‑through, and want to make a meaningful impact through technology.

Equal Opportunity

Northramp is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by federal, state, or local law. Northramp participates in E‑Verify.