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On Call Senior Data Engineer Jobs (NOW HIRING)

Ad Hoc LLC

Senior Data Engineer

Mclean, VA · On-site

$107K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Senior Data Engineer Job Number: 912 This is a remote position. Ad Hoc is a technology company that empowers organizations to deliver scalable, impactful digital services. Using modern, agile methods ...

K&L Gates

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Senior Data Engineer contributes to the Enterprise Applications, Data, and AI Platforms group, designing scalable Microsoft Fabric data platforms. Responsibilities include establishing ...

FOCUSPOINT

Senior Data Engineer (Remote)

Nashville, TN · On-site

$110K - $132K/yr

Senior Data Engineer (Azure / Databricks) Location: Remote Employment Type: Full time Compensation: Commensurate with experience FocusPoint is actively building a pipeline of Senior Data Engineers ...

iQuasar LLC

Senior Data Engineer

Washington, DC · On-site

$119K - $162K/yr

Senior Data Engineer • Position Type: Hybrid • Location : Washington, D.C Role Specific Duties/ Role Responsibilities: * Plan, design, build, test, deploy, and maintain highly scalable web-based ...

Donato Technologies, Inc

Senior Data Engineer

Sunnyvale, CA · On-site

$124K - $169K/yr

Senior Data Engineer Location: Sunnyvale, CA (Local candidates preferred) or with in the time zone Key Skills: Tableau, Python, Snowflake. Overview: We are seeking an experienced Senior Data Engineer ...

Pharmacy Data Management

Senior Data Engineer

Poland, OH · On-site +1

$91K - $124K/yr

The Senior Data Engineer plays a key role in modernizing the organization's data ecosystem by transitioning legacy SQL Server and SSRS solutions to a scalable, cloud-based architecture centered on ...

New

IQUASAR LLC

Senior Data Engineer

Washington, DC · On-site

$119K - $162K/yr

Senior Data Engineer ● Position Type: Hybrid ● Location : Washington, D.C Role Specific Duties/ Role Responsibilities: * Plan, design, build, test, deploy, and maintain highly scalable web-based ...

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 Senior Data Engineer to our team due to growth. What we need is someone who comes 8+ years of ...

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 Senior Data Engineer to our team due to growth. What we need is someone who comes 8+ years of ...

Paul Hastings

$194K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Job Title Senior Data Engineer Location Atlanta, Boston, Charlotte, Chicago, Dallas, Houston, Los Angeles, New York Regular/Temporary Regular Summary We have an opening for a Senior Data Engineer.

Ad Hoc, LLC

Senior Data Engineer

Mclean, VA · On-site

$108K - $147K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Senior Data Engineer Job Number: 912 This is a remote position. Ad Hoc is a technology company that empowers organizations to deliver scalable, impactful digital services. Using modern, agile methods ...

Hirekeyz Inc

Senior Data Engineer

Sunnyvale, CA · On-site

$124K - $169K/yr

Senior Data Engineer Location: Sunnyvale, CA Job Type: Contract/W2 Key Skills: Tableau, Python, Snowflake. Overview: We are seeking an experienced Senior Data Engineer with at least 8 years of ...

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 Senior Data Engineer to our team due to growth. What we need is someone who comes 8+ years of ...

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How much do on call senior data engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for on call senior data 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 most commonly searched types of Senior Data Engineer jobs?

The most popular types of Senior Data Engineer jobs are:

On Call Senior Data Engineer jobs near you
Infographic showing various On Call Senior Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $126,328 per year, or $60.7 per hour.

Senior Data Engineer

Ad Hoc LLC

Mclean, VA • On-site

$107K - $145K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago

Job description

Senior Data Engineer
Job Number: 912
This is a remote position.
Ad Hoc is a technology company that empowers organizations to deliver scalable, impactful digital services. Using modern, agile methods, our team creates products that meet people's needs and transform their experience of government.
Work on things that matter
Our collaborations have shaped some of the defining moments in public-sector service delivery. We've helped build products that connect Veterans to tailored services, help millions access affordable health care, and support important programs like Head Start. As we work with agencies to deliver critical services, we're also changing how the government approaches technology.
Built for a remote life
Our culture, communications, and tools are built for remote work, enabling us to bring together top talent nationwide. At Ad Hoc, remote life empowers our teams to design work environments that fit their lives and that foster flexibility and collaboration to achieve positive outcomes for our customers.
Committed to high expectations and a welcoming culture
Ad Hoc values acceptance, accountability, and humility. We aren't heroes. We learn from our mistakes and improve the process for the next time. We build small, inclusive teams to collaborate closely with our partners to solve the right problems and deliver software that works.
The Federal Civilian business unit supports many customers spanning the federal, commercial, and nonprofit space. Our customers include NASA, the General Services Administration, Office of Personnel Management, the Library of Congress, Health & Human Services, and the FDIC. We partner with these agencies to build new capabilities, deliver products, establish data as a strategic asset for informed decision-making, modernize legacy systems, and build the digital service infrastructure necessary to scale their mission impact.
Primary Responsibilities
Senior Data Engineer serves as an experienced individual contributor within a team, with the expectation that you will continue to develop your leadership, technical guidance, and mentoring skills. With minimal oversight from leadership, you will design, build, and optimize scalable data solutions that support business and customer needs while ensuring projects meet scope, schedule, and delivery commitments.
As a Senior Data Engineer, you will contribute to the long-term data strategy of the program, influence architectural decisions, and collaborate closely with software engineers, product managers, analysts, architects, and stakeholders to deliver reliable, secure, and scalable data platforms. You may serve as the primary data engineering lead for initiatives and utilize strong leadership and communication skills to drive improvements in data engineering processes, platform reliability, and engineering best practices.
Primary expectations of a Senior Data Engineer include:
  • Evaluate and recommend multiple technical approaches to solve complex data engineering and architecture challenges.
  • Design, develop, maintain, and optimize scalable data pipelines supporting both batch and real-time processing.
  • Design and implement robust ETL/ELT workflows that transform raw data into reliable, consumable datasets.
  • Build and maintain scalable data models, data warehouses, and cloud-native data architectures.
  • Develop solutions for structured, semi-structured, and unstructured data sources.
  • Generate data architecture recommendations and successfully implement approved solutions.
  • Ensure data quality, integrity, governance, lineage, security, and observability across data platforms.
  • Optimize database performance, query execution, storage strategies, and overall system scalability.
  • Diagnose and resolve production issues while implementing long-term improvements to increase system reliability and performance.
  • Collaborate with cross-functional teams to translate business requirements into scalable technical solutions.
  • Present technical designs, architecture diagrams, and implementation strategies to clients, stakeholders, partners, and engineering teams.
  • Champion data engineering best practices, coding standards, automation, and operational excellence.
  • Mentor junior engineers through technical guidance, code reviews, design discussions, and knowledge sharing.
  • Lead small projects or serve as the technical lead for data engineering initiatives when needed.
  • Effectively communicate technical challenges, risks, and progress with engineering teams, leadership, clients, and stakeholders.
  • Participate in technical interviews and contribute to hiring decisions.

Required Qualifications & Technical Skills
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related technical discipline with 7+ years of professional experience. Relevant years of experience may be substituted for formal education.
  • 7+ years of experience designing, building, and maintaining enterprise-scale data platforms and data pipelines.
  • Strong proficiency in SQL with experience developing, optimizing, and troubleshooting complex queries and large datasets.
  • Professional experience developing software and data solutions using Python, Java, Scala, or a comparable programming language.
  • Experience designing, developing, and maintaining ETL/ELT pipelines for batch and real-time data processing.
  • Experience working with cloud-based data platforms and services within AWS, Microsoft Azure, or Google Cloud Platform.
  • Experience with modern cloud data platforms such as Snowflake, Databricks, Amazon Redshift, Google BigQuery, or Azure Synapse Analytics.
  • Experience with relational database technologies such as PostgreSQL, SQL Server, Oracle, or MySQL, along with familiarity with NoSQL database solutions.
  • Experience with distributed data processing frameworks such as Apache Spark or equivalent big data technologies.
  • Strong understanding of data modeling, dimensional modeling, schema design, data warehousing, and database optimization.
  • Experience implementing data quality, validation, governance, metadata management, and data lineage best practices.
  • Experience working with structured, semi-structured, and unstructured data from multiple sources.
  • Experience with version control systems such as Git and CI/CD practices supporting data engineering workflows.
  • Understanding of data security, privacy, encryption, and access control principles.
  • Experience monitoring, troubleshooting, and optimizing production data systems for scalability, availability, and performance.
  • Experience working within Agile software development environments and collaborating across cross-functional engineering teams.
  • Strong analytical, troubleshooting, and problem-solving skills with the ability to make sound technical decisions.
  • Excellent written and verbal communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
  • Demonstrated ability to mentor junior engineers through code reviews, technical guidance, and knowledge sharing.
  • Ability to obtain and maintain a U.S. Public Trust clearance.

Preferred Qualifications
  • Experience supporting U.S. Federal Government programs or other highly regulated environments.
  • Experience with orchestration platforms such as Apache Airflow, Prefect, Azure Data Factory, or AWS Step Functions.
  • Experience with streaming technologies such as Apache Kafka, Amazon Kinesis, or Azure Event Hubs.
  • Experience using dbt or other modern data transformation frameworks.
  • Experience with Infrastructure as Code tools such as Terraform or AWS CloudFormation.
  • Experience working with Docker and Kubernetes in cloud-native environments.
  • Experience building analytics and business intelligence solutions using Tableau, Power BI, Looker, or similar visualization tools.
  • Existing Public Trust or higher security clearance.
  • Experience serving as a technical lead or mentoring engineers on enterprise-scale data initiatives.

To learn more about working at Ad Hoc, please visit:https://adhocteam.us/join
Benefits:
  • Company-subsidized health, dental, and vision insurance
  • Flexible PTO
  • 401K with employer match
  • Paid parental leave after one year of service
  • Employee Assistance Program

Ad Hoc LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, sexual orientation, gender identity or expression, religion, age, pregnancy, disability, work-related injury, covered veteran status, political ideology, marital status, or any other factor that the law protects from employment discrimination.
We value the unique skills gained through military service and encourage veterans and transitioning service members to apply.
In support of various state and city equal pay transparency laws, Ad Hoc job descriptions feature the starting range we reasonably expect to pay to candidates who would join our team with little to no need for training on the responsibilities we've outlined above. Actual compensation is influenced by a wide range of factors including but not limited to skill set, level of experience, and responsibility. The range of starting pay for this role is $130,000-$140,000. Our recruiters will be happy to answer any questions you may have, and we look forward to learning more about your salary requirements.
job reference:
https://adhoc.team/

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