Data Engineer III
Ad Hoc LLC · United States
- Hybrid
- Full-time
- $115,000 / year
- United States
Tailored resume — keyword-matched to this role.
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Job highlights
- Build data infrastructure and pipelines with minimal guidance.
- Transform raw data into interpretable information.
- Create accurate datasets for analysts and scientists.
- Maintain data architectures and mentor junior engineers.
- Collaborate with stakeholders on data engineering improvements.
About the role
About Ad Hoc LLC
Ad Hoc is a technology company empowering organizations to deliver scalable, impactful digital services using modern, agile methods. We create products that meet people’s needs and transform their experience of government.Work on things that matter
Our collaborations have shaped defining moments in public-sector service delivery, connecting Veterans to services, helping millions access affordable healthcare, and supporting programs like Head Start. We are 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. Remote life at Ad Hoc empowers our teams to design work environments that fit their lives, fostering flexibility and collaboration for positive customer outcomes.Committed to high expectations and a welcoming culture
Ad Hoc values acceptance, accountability, and humility. We learn from mistakes and improve processes. We build small, inclusive teams to collaborate closely with partners to solve problems and deliver software that works.The Federal Civilian business unit supports customers spanning federal, commercial, and nonprofit spaces, including NASA, GSA, OPM, Library of Congress, HHS, and FDIC. We partner with these agencies to build new capabilities, deliver products, establish data as a strategic asset, modernize legacy systems, and build digital service infrastructure to scale mission impact.
Primary Responsibilities
As a Data Engineer III, you will be an emerging individual contributor, expanding your leadership, guidance, and mentoring skills. With support from leadership, you will be responsible for meeting scope, schedule, and delivery requirements. You will interact with stakeholders and use influential skills to drive improvements in data engineering processes and practices. Primary expectations include:- Building data infrastructure, pipelines, systems, and tools with minimal feedback.
- Intermediate understanding of data management and transformation of raw data into interpretable information.
- Ability to create accurate and accessible datasets for Data Analysts and Scientists.
- Owning the maintenance of data architectures and systems.
- Utilizing technical and communication skills to improve context knowledge and mentor junior data engineers.
- Presenting and writing about work to internal and external parties.
- Participating in planning sessions to understand data architectures and infrastructure.
- Supporting recruiting efforts by evaluating homework assignments and assisting with interviews.
Required Qualifications
- Strong experience with Python / Apache Spark.
- Solid understanding of data modeling, ETL processes, and distributed computing.
- Bachelor's degree in Computer Science, Computer Engineering, or related field.
- Strong understanding of software design patterns, data structures, and algorithms.
- Experience with Agile development methodologies.
- Ability to work independently and in a team.
- Strong problem-solving and analytical skills.
- Strong verbal and written communication skills.
- Related experience in analytic programming, data extraction, querying databases/data warehouses, and data analysis.
- Bachelor’s degree and 5+ years of experience.
Preferred Qualifications
- AWS Experience (S3, EC2, Glue, Lambda, etc.).
- R experience.
- Professional Databricks/Apache Spark Certification(s).
- SAS experience.
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.
Equal Pay Transparency
In support of various state and city equal pay transparency laws, Ad Hoc job descriptions feature the starting range we reasonably expect to pay. Actual compensation is influenced by a wide range of factors including skill set, experience, and responsibility. The range of starting pay for this role is $110,000-$120,000.Key skills/competency
Data Engineer III, Python, Apache Spark, Data Modeling, ETL, Distributed Computing, Data Architecture, Data Pipelines, Data Management, Software Design PatternsSkills & topics
- Data Engineer
- Python
- Apache Spark
- Data Modeling
- ETL
- Distributed Computing
- Data Architecture
- Data Pipelines
- AWS
- Remote
How to get hired
- Tailor your resume: Highlight Python, Apache Spark, data modeling, and ETL experience relevant to data engineering.
- Showcase your impact: Quantify achievements in building data infrastructure and transforming data in your application.
- Prepare for technical questions: Brush up on data structures, algorithms, and distributed computing concepts.
- Demonstrate remote work skills: Emphasize your ability to work independently, communicate effectively, and collaborate in a remote setting.
- Research Ad Hoc's values: Align your responses with their commitment to acceptance, accountability, and humility.
Technical preparation
Master Python and Apache Spark for data processing.,Understand data modeling and ETL principles thoroughly.,Review distributed computing concepts and patterns.,Prepare to discuss software design patterns and algorithms.
Behavioral questions
Describe a complex data problem you solved.,How do you mentor junior team members?,Explain your approach to stakeholder communication.,Share an example of learning from a mistake.
Frequently asked questions
- What is the expected experience level for a Data Engineer III at Ad Hoc LLC?
- The Data Engineer III role at Ad Hoc LLC typically requires a Bachelor's degree in a related field and at least 5 years of experience in data engineering. The description emphasizes an 'emerging individual contributor' role, suggesting a mid-to-senior level with opportunities for leadership and mentorship.
- Is this Data Engineer III position remote, and what is Ad Hoc LLC's remote work culture like?
- Yes, this is a remote position. Ad Hoc LLC has intentionally built its culture, communications, and tools to support remote work, aiming to bring together top talent nationwide and empower employees to design work environments that fit their lives.
- What are the primary technical skills required for the Data Engineer III role?
- The primary technical skills required include strong experience with Python and Apache Spark, a solid understanding of data modeling, ETL processes, and distributed computing. Knowledge of software design patterns, data structures, and algorithms is also crucial.
- What kind of projects can I expect to work on as a Data Engineer III at Ad Hoc LLC?
- As a Data Engineer III, you can expect to work on projects that support federal agencies in building new capabilities, delivering products, establishing data as a strategic asset, modernizing legacy systems, and scaling digital service infrastructure to amplify their mission impact.
- Does Ad Hoc LLC offer opportunities for professional growth and mentorship in the Data Engineer III role?
- Yes, the Data Engineer III role is positioned as an opportunity to expand leadership, guidance, and mentoring skills. You will be expected to mentor junior data engineers and will receive support and guidance from leadership for your own growth.
- What is the salary range for the Data Engineer III position at Ad Hoc LLC?
- The stated starting range for this Data Engineer III role at Ad Hoc LLC is $110,000 to $120,000 annually. Actual compensation will depend on factors like skill set, experience, and responsibilities.
- What are the preferred qualifications for the Data Engineer III role at Ad Hoc LLC?
- Preferred qualifications include experience with AWS services (S3, EC2, Glue, Lambda), R programming, professional Databricks/Apache Spark certifications, and SAS experience.