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Senior Data Pipeline Engineer Jobs (NOW HIRING)

Serviss

Senior Data Pipeline Engineer (Elastic)

Arlington, VA · On-site +1

$121K - $165K/yr

Senior Data Pipeline Engineer Location: Washington D.C. Area / Remote Employment Type: Full-Time About SERVISS At SERVISS, we deliver cutting-edge cybersecurity and IT solutions to government and ...

Kanak Elite Services Inc

Data Pipeline Engineer

Dallas, TX · On-site

$113K - $136K/yr

DATA PIPELINE ENGINEER Location: Dallas, TX - Hybrid MUST BE CURRENTLY WORKING AT A BANK A leading global financial institution is seeking a highly skilled Data Pipeline Engineer to drive its unified ...

Saviance

Data Pipeline Engineer

$117K - $140K/yr

They are seeking a Data Pipeline Engineer to design, build, and maintain scalable data pipelines that support analytics, reporting, and AI/ML initiatives, with a focus on healthcare data environments.

Serviss

Data Pipeline Engineer (Junior - Mid)

Arlington, VA · On-site +1

$131K - $158K/yr

Working alongside senior engineers, you will help build and maintain the pipelines that pull asset and cyber-intelligence data from SaaS platforms, primarily Armis and Axonius, into Elasticsearch ...

Snowrelic Inc

Data Pipeline Engineer - W2

Dallas, TX · On-site

$113K - $136K/yr

Data Pipeline Engineer Location: Dallas TX (Hybrid) Must have - (Only Consider 14-15 Years profile) Mandatory Requirements * 3-8 years of experience building and optimizing data pipelines within ...

Fullstory

Senior Data Pipeline & AI Engineer

Atlanta, GA · On-site

$160 - $170/hr

As our Senior Data Engineer, you will report to the Senior Engineering Manager for the Fullstory ... You will design and optimize pipelines that process 30 billion+ records per day across customer ...

Addison Group

Senior Data Engineer

Dallas, TX · On-site

$120K - $140K/yr

Senior Data Engineer Location: Coppell, TX Salary Range: $120K-$140K We are looking to bring on a ... Architecture experience in building pipelines, data modeling, data pipeline deployment, data ...

Addison Group

Senior Data Engineer

Dallas, TX · On-site

$120K - $140K/yr

Senior Data Engineer Location: Coppell, TX Salary Range: $120K-$140K We are looking to bring on a ... Architecture experience in building pipelines, data modeling, data pipeline deployment, data ...

Addison Group

Senior Data Engineer

Dallas, TX · On-site

$120K - $140K/yr

Senior Data Engineer Location: Coppell, TX Salary Range: $120K-$140K We are looking to bring on a ... Architecture experience in building pipelines, data modeling, data pipeline deployment, data ...

Addison Group

Senior Data Engineer

Dallas, TX · On-site

$120K - $140K/yr

Senior Data Engineer Location: Coppell, TX Salary Range: $120K-$140K We are looking to bring on a ... Architecture experience in building pipelines, data modeling, data pipeline deployment, data ...

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How much do senior data pipeline engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for senior data pipeline engineer in the United States is $126,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $144,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a senior data pipeline engineer, and why are they important?

To thrive as a Senior Data Pipeline Engineer, you need strong expertise in data engineering, programming (Python, Java, or Scala), and a solid understanding of ETL processes, often backed by a degree in computer science or a related field. Familiarity with big data tools such as Apache Spark, Kafka, Airflow, and cloud platforms like AWS or GCP, as well as relevant certifications, is typically required. Excellent problem-solving, collaboration, and communication skills help you work effectively with cross-functional teams and address complex data challenges. These skills and qualifications are crucial for building robust, scalable, and efficient data pipelines that support critical business analytics and decision-making.

What are some typical challenges senior data pipeline engineers face when ensuring data quality and reliability?

Senior Data Pipeline Engineers frequently encounter challenges such as handling large volumes of diverse data, ensuring timely and accurate data delivery, and implementing robust monitoring to detect failures early. Managing data consistency across distributed systems and balancing real-time processing with batch workloads are also common hurdles. Collaborating closely with data scientists, analysts, and DevOps teams is essential to resolve data quality issues and maintain reliable pipelines in a dynamic environment.

What is a senior data pipeline engineer?

A Senior Data Pipeline Engineer is a highly skilled professional responsible for designing, building, and maintaining the systems that move and process large amounts of data within an organization. They ensure data is collected, transformed, and made available to analysts, data scientists, and business applications in a reliable and efficient manner. Senior engineers typically lead projects, mentor junior staff, and make critical decisions about data architecture and technology choices. Their work is essential for organizations that rely on data-driven insights and operations.
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Senior Data Pipeline Engineer jobs near you
Infographic showing various Senior Data Pipeline Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $126,328 per year, or $60.7 per hour.

Senior Data Pipeline Engineer (Elastic)

Serviss

Arlington, VA • On-site, Remote

$121K - $165K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 19 days ago

Job description

Senior Data Pipeline Engineer
Location: Washington D.C. Area / Remote
Employment Type: Full-TimeAbout SERVISS
At SERVISS, we deliver cutting-edge cybersecurity and IT solutions to government and commercial clients, with a mission to secure systems, data, and critical infrastructure through innovation and expertise. We don't just deploy tools; we engineer mission platforms that become foundational systems of record for cyber operations, compliance automation, and national cyber readiness. From CISA CDM to DoW mission enclaves, our work shapes how government sees, governs, and defends its digital terrain.
On the DHS CDM Data Services Program, our engineers build the data pipelines and Elasticsearch platforms that give agency stakeholders a unified, single-pane-of-glass view of their cyber terrain.
Position Summary
SERVISS is seeking a Senior Data Pipeline Engineer to join an established, mission-critical Pipeline team on the DHS CDM Data Services / BETSIE Program. In this senior role, you will take a leading technical role in the data ingestion and pipeline function that collects asset and cyber-intelligence data from SaaS platforms, primarily Armis and Axonius, and delivers it into Elasticsearch to power a unified single-pane-of-glass dashboard for agency stakeholders.
Our customer's requirements are dynamic and complex. The ideal candidate can engage resources and work across teams to decompose large, complex problems into workable solutions, set technical direction, and mentor junior engineers. An aptitude for strategic planning and the ability to communicate effectively at all levels of the organization are a must. The successful candidate will also serve as a liaison for the customer's data-improvement efforts, participating in regular meetings, representing the program, and supporting the requirements-gathering process.
The Work
This is a hands-on engineering role. The selected candidate will:
  • Architect, automate, and maintain scalable, fault-tolerant data processing pipelines that ingest asset, vulnerability, and configuration data from Armis, Axonius, and other SaaS/API sources into Elasticsearch
  • Handle high-volume, high-velocity data collection, processing, and indexing to support near-real-time visibility
  • Design Elasticsearch index strategies, mappings, ingest pipelines, and transforms; normalize disparate source data to a common schema (e.g., Elastic Common Schema) for consistent search, correlation, and reporting
  • Build and maintain Kibana dashboards and visualizations that deliver a true single-pane-of-glass view of the agency's technical posture
  • Own API integration patterns against evolving vendor APIs, including authentication and token management, pagination, rate limiting, incremental/delta ingestion, and resilient error handling and retry logic
  • Implement automated reconciliation and data-quality checks to ensure ingested data is complete, consistent, and accurate against source systems; document and maintain data lineage and traceability of transformed data back to source
  • Manage index lifecycle (ILM), retention, sharding, and cluster performance tuning for high-volume, low-latency operations
  • Instrument pipelines with monitoring, alerting, and logging so data-flow issues are detected and resolved before they reach stakeholders
  • Follow programming best practices, emphasizing code reusability and highly automated CI/CD pipelines for scalability
Key Responsibilities
  • Serve as a leading technical resource for the data ingestion and pipeline function on the DHS CDM Data Services / BETSIE Program
  • Set technical direction and decompose large, complex problems into workable solutions across teams
  • Establish and enforce data governance, validation, and documentation standards; review designs and mentor junior engineers on the team
  • Serve as a liaison for the customer's data-improvement efforts, participating in regular meetings, representing the program, and supporting requirements gathering
  • Communicate complex data and pipeline concepts to non-technical audiences, translating them into actionable recommendations
Required Qualifications
  • US citizenship with the ability to obtain Public Trust Suitability
  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field (master's degree preferred)
  • A minimum of six years of experience designing, implementing, and managing the technical delivery of large-scale data engineering or data pipeline services to diverse organizations
  • 4+ years hands-on with Elasticsearch or OpenSearch: index design, mappings, ingest pipelines, query/aggregation, and cluster performance tuning
  • Strong experience integrating REST APIs from SaaS platforms, including authentication, pagination, rate limiting, incremental ingestion, and resilient error handling
  • Proficiency with a scripting/pipeline language (Python strongly preferred) and with ETL/ELT tooling such as Logstash, Elastic Agent/Beats, or equivalent
  • Experience designing, implementing, and managing data schemas that comply with cyber-relevant data standards and frameworks, e.g., SCAP, STIX, OTEL, Elastic Common Schema, and Splunk Common Information Model
  • Knowledge of data transformation processes and experience documenting and maintaining data lineage, especially traceability of transformed data to source data
  • Solid data modeling and normalization skills for heterogeneous sources, including mapping to a common schema
  • Knowledge of Federal Cybersecurity and Risk Management policies and practices, including FISMA; NIST SP 800-37, 800-53, 800-30, and 800-39; and FedRAMP
  • Solid understanding of Git, version control workflows, and CI/CD

Preferred Qualifications
  • Direct experience integrating Armis and/or Axonius, or comparable CAASM / asset-intelligence platforms (e.g., Tenable, Qualys, ServiceNow)
  • Experience utilizing data cataloging and governance tools (e.g., Alation, Collibra)
  • Containerization and orchestration (Docker, Kubernetes) and infrastructure-as-code (Terraform, Ansible)
  • CI/CD tooling (GitLab CI, Jenkins) and DevSecOps practices in cloud (AWS GovCloud / Azure Government a plus)
  • Experience with monitoring/observability tooling and data-reconciliation frameworks
  • Knowledge of cybersecurity tools and technologies
  • Active DHS Public Trust or prior EOD
  • Familiarity with Agile / SCRUM methodologies
  • Strong problem-solving and analytical skills, with a sense of urgency and the ability to prioritize and balance multiple tasks
Freedom to Thrive.
Why Join SERVISS? Our goal as an employer is simple yet profound: to create an environment where you can be your best self, pursue your passions, and enjoy the freedom to thrive both personally and professionally. Your success is our success, and we're committed to supporting you every step of the way.
  • Highly competitive compensation and best in class benefits
  • 100% of medical, vision, dental, and life insurance premiums paid for by SERVISS
  • Be part of an exciting company with ground floor opportunities in the Equity Participation Program
  • Opportunities for annual performance bonuses and growth incentives
  • 401(k) retirement plan with 6% dollar for dollar match
Additional Considerations for HUBZone applicants:
Preference may be given to applicants residing in a federal HUBZone in support of SERVISS LLC's HUBZone workforce objectives; all qualified candidates are encouraged to apply.
How to Determine HUBZone Residency:
Candidates can verify HUBZone eligibility by entering their home address into the SBA HUBZone Map at https://maps.certify.sba.gov/hubzone/map. If your residence falls within a designated HUBZone area on the map, you are considered a HUBZone resident for hiring preference purposes.

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