Data Engineer (Python) - Remote

SteerBridge, Inc.; Vienna (VA); In loco; USD 120.000 - 160.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health insurance

Dental insurance

Life Insurance

401(k) Retirement Plan with matching

Paid Federal Holidays

Descrizione del lavoro

SteerBridge, Inc. is seeking a senior data engineer in Vienna, VA to drive data pipelines across systems, design data models, and optimize workloads. You will build scalable batch and real-time data flows using Spark, Kafka, Airflow, and cloud data services, while collaborating with stakeholders and mentoring junior engineers.

The role requires U.S. citizenship and an active security clearance (or ability to obtain one).

Competenze

• U.S. citizenship and an active security clearance or ability to obtain one.
• Bachelor’s degree or higher in Systems Engineering, CS, Data Science, or related field.
• 6+ years of data engineering or related experience with data platforms.
• Strong Python, SQL, Pandas, PySpark, NumPy and Git experience.
• Knowledge of data modeling with relational/NoSQL/data warehouse architectures.
• Experience building scalable data pipelines with Spark, Kafka, Airflow, NiFi, and cloud data services.
• Cloud data solutions in AWS, Azure, and/or GCP; familiarity with Redshift, Snowflake, BigQuery.
• Data governance, CI/CD, security, and performance optimization for large data environments.
• Vienna, VA area preferred; onsite three days per week at SteerBridge Vienna.
• Experience with Hadoop, Spark, Hive, Presto/Trino, Delta Lake, Iceberg, Hudi.
• DevOps/DataOps: IaC, Docker, Kubernetes, Git workflows, CI/CD for data infra.
• AI/ML data pipelines familiarity (TensorFlow, PyTorch, Scikit-learn, MLflow, Kubeflow).
• Mentor junior engineers and document architectures via Lucidchart/Draw.io.

Mansioni

• Perform data engineering across existing systems of record and multiple databases.
• Enhance data entry, management, and extraction processes to improve data usability.
• Conduct data quality checks to identify inconsistencies and opportunities for improvement.
• Analyze data and present findings to support business and operational needs.
• Maintain documentation of data processes, workflows, and methodologies.
• Collaborate with team members and stakeholders to address data needs and drive continuous improvement.

Conoscenze

Python

SQL

Pandas

PySpark

NumPy

Git

Data quality checks

Airflow

Kafka

Spark

Hadoop

Docker

Kubernetes

CI/CD

Formazione

Bachelor’s degree or higher in Systems Engineering, Computer Science, Data Science, or related field

Strumenti

AWS

Azure

GCP

Redshift

Snowflake

BigQuery

AWS Glue

Azure Data Factory

GCP Dataflow

NiFi

Lucidchart

Draw.io

Descrizione del lavoro

Job Description SteerBridge is a modern technology company delivering innovative, mission‑focused solutions to the U.Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial‑grade capabilities that accelerate operational effectiveness and drive measurable mission success. At the core of SteerBridge is our people—especially the veterans whose leadership, problem‑solving mindset, and commitment to excellence elevate every project we support. we cultivate it , creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve.

Responsibilities

• Perform data engineering activities across existing systems of record and multiple databases.
• Enhance and optimize data entry, management, and extraction processes to improve data usability within proprietary systems.
• Conduct data quality checks to identify inconsistencies, errors, and opportunities for improvement.
• Analyze data and present findings to support business and operational needs.
• Maintain accurate documentation of data processes, workflows, and methodologies.
• Collaborate with team members and stakeholders to address data needs and support continuous improvement.

Requirements

• S. citizenship is required for this position under applicable federal contract requirements. an active Secret or Top Secret security clearance also satisfies this requirement.
• ~ Bachelor’s degree or higher in Systems Engineering, Computer Science, Data Science, or a related field.
• ~6+ years of data engineering or related experience designing, developing, and supporting production data platforms and pipelines.
• ~ Strong proficiency with Python, SQL, Pandas, PySpark, NumPy, and Git, including experience developing reusable, testable, and performance-optimized data processing and automation solutions.
• ~ Experience designing conceptual, logical, and physical data models and working with relational, NoSQL, data warehouse, data lake, and lakehouse architectures.
• ~ Hands‑on experience developing and orchestrating scalable batch and/or real‑time data pipelines using technologies such as Apache Spark, Kafka, Airflow, NiFi, AWS Glue, Azure Data Factory, or GCP Dataflow.
• ~ Experience developing cloud‑based data solutions in AWS, Azure, and/or GCP, including cloud storage, managed databases, compute services, and modern data warehousing platforms such as Redshift, Snowflake, or BigQuery.
• ~ Experience with data quality, governance, security, lineage, metadata management, performance optimization, CI/CD, and software engineering best practices for large‑scale data environments.
• ~ Preference for candidates located in the Vienna, VA area who are able to work onsite at the SteerBridge Vienna office at least three days per week. Experience with distributed computing and modern data lake/lakehouse technologies such as Hadoop, Spark, Hive, Presto/Trino, Delta Lake, Apache Iceberg, or Apache Hudi.
• Experience with DevOps/DataOps practices, including Infrastructure as Code (IaC), Docker, Kubernetes, Git‑based workflows, automated testing, and CI/CD for data infrastructure and pipelines.
• Experience optimizing large‑scale data environments for query performance, pipeline efficiency, scalability, and cloud resource utilization and cost.
• Experience developing resilient, automated data pipelines with monitoring, alerting, retry logic, failure recovery, and other self‑healing capabilities.
• Familiarity with AI/ML data pipeline technologies such as TensorFlow, PyTorch, Scikit‑learn, MLflow, Kubeflow, or feature stores.
• Experience mentoring junior engineers, conducting technical reviews, and clearly documenting technical architectures using tools such as Lucidchart, PlantUML, or Draw.io.

Benefits

• Health insurance
• ~ Dental insurance
• ~ Life Insurance
• ~401(k) Retirement Plan with matching
• ~ Paid Federal Holidays

Where applicable, contract requirements, wage determinations, and federal contract labor categories may also inform the offer.

Equal Opportunity

We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and dignity—regardless of race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any other characteristic protected by law.

Accommodations

We also provide reasonable accommodations for individuals with disabilities in accordance with applicable laws. If you require assistance during the application process, we encourage you to reach out so we can support your needs.