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# Data Engineer

Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.

[Apply for this job](#job-application)[View company](https://jobicy.com/company/oddball.md)Share31 Aug 2026Published24Listing views2Application actions30 Sep 2026Apply before  Opportunity details

## About this role.

AI SummaryOddball is seeking a Data Engineer to build and maintain AWS-based data infrastructure for a cloud case-management system used by a major federal financial regulatory agency. The role centers on data marts, materialized views, ETL/ELT pipelines, workflow optimization, infrastructure monitoring, and PostgreSQL environment maintenance. The engineer will partner with engineering, product, and agency stakeholders while supporting federal security and governance requirements, including FISMA and NIST 800-53. This is a remote, U.S.-authorized role requiring clear documentation, collaborative Agile delivery, and the ability to obtain or maintain required federal background eligibility. The stated compensation range is $100,000 to $140,000 USD annually.

## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

4/5EasyHard

### Pace & Pressure

4/5RelaxedFast-paced

### Autonomy Level

4/5GuidedFull ownership

### Communication Load

4/5IndependentCollaborative

AI insightThe role combines production data engineering with AWS infrastructure, database operations, data quality troubleshooting, and regulated federal-environment compliance. Success requires independently resolving technical issues while aligning work with cross-functional and agency stakeholders.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianMarket rate$120,000US market range$105k–$150k0$165k

AI insightThe disclosed U.S. wage range is $100,000-$140,000 USD yearly, with a midpoint of $120,000. A typical U.S. market range for a mid-level Data Engineer with AWS, SQL, PostgreSQL, and regulated-environment experience is approximately $105,000-$150,000 annually; federal compliance expertise can support compensation toward the upper end.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[AWS](https://jobicy.com/jobs?search_keywords=AWS.md)[Data pipelines](https://jobicy.com/jobs?search_keywords=Data%20pipelines.md)[ETL/ELT](https://jobicy.com/jobs?search_keywords=ETLELT.md)[Data marts](https://jobicy.com/jobs?search_keywords=Data%20marts.md)[Materialized views](https://jobicy.com/jobs?search_keywords=Materialized%20views.md)[PostgreSQL](https://jobicy.com/jobs?search_keywords=PostgreSQL.md)[Data quality](https://jobicy.com/jobs?search_keywords=Data%20quality.md)[FISMA](https://jobicy.com/jobs?search_keywords=FISMA.md)[NIST 800-53](https://jobicy.com/jobs?search_keywords=NIST%20800-53.md)

Sample interview questionsHow would you design a resilient ETL/ELT pipeline in an AWS-hosted data lake?I would begin by defining source contracts, schema expectations, freshness requirements, and security classifications. I would implement staged ingestion, validation and transformation layers, idempotent processing, orchestration with retries and alerts, and lineage-oriented logging so failures can be diagnosed and data can be safely reprocessed.

What steps would you take to troubleshoot a slow materialized view or reporting query in PostgreSQL?

I would review query plans, indexes, join cardinality, table statistics, refresh behavior, and resource utilization. Based on findings, I would optimize SQL and indexes, consider partitioning or incremental refresh patterns, validate improvements against representative workloads, and document performance tradeoffs.

How do you ensure data quality in a production analytics platform?

I establish automated checks for schema validity, completeness, uniqueness, referential integrity, timeliness, and acceptable value ranges. I also monitor pipeline outcomes, alert on threshold breaches, retain audit records, and work with data consumers to define business rules and remediation ownership.

How would you apply FISMA and NIST 800-53 principles to data engineering work?

I would translate applicable controls into practical engineering measures such as least-privilege access, encryption in transit and at rest, audit logging, secure secret management, vulnerability-aware dependency practices, retention controls, and documented operational procedures. I would partner with security and compliance teams to maintain evidence and address control gaps.

Describe how you communicate a data architecture decision to technical and nontechnical stakeholders.

I tailor the discussion to the audience by connecting the decision to outcomes such as reliability, reporting speed, risk reduction, and cost. I use concise diagrams and documented assumptions, explain key tradeoffs and alternatives, confirm ownership and next steps, and maintain an accessible record for future implementation and review.

Oddball believes that we can bring change and improve the daily lives of millions by bringing quality software to the federal space. Our team is full of experienced engineering, product, and user experience professionals who love bringing scalable solutions to life as much as they love working with clients to solve problems. We value learning, growth, and the ability to make a big impact at a rapidly growing company.

We’re looking for a Data Engineer to join our team, building and maintaining the data infrastructure that powers a cloud-based case management system for a major federal financial regulatory agency.

What you’ll be doing:

* Build and maintain data marts, materialized views, and data pipelines within an AWS hosted Data Lake environment
* Design, build, and optimize data workflows and pipelines to support agency-wide analytics and reporting.
* Monitor data infrastructure health, troubleshooting performance bottlenecks and data quality issues.
* Collaborate with engineering, product, and agency stakeholders to scale and support new data-driven initiatives.
* Support compliance with federal data security requirements including FISMA and NIST 800-53.

What you’ll bring:

* Strong proficiency in SQL and experience with large-scale data infrastructure (AWS).
* Experience building and maintaining data marts, materialized views, or ETL/ELT pipelines
* Familiarity with AWS data services and cloud-based data infrastructure
* Experience maintaining and migrating relational database environments (PostgreSQL).
* Experience maintaining structured and unstructured data
* Understanding of data security and governance in federal environments.
* Thrives in a remote, collaborative Agile environment and genuinely enjoys working closely with a cross-functional team.
* Communicates clearly and openly, whether documenting data architectures or collaborating with engineers on integration design.
* Performs other related duties as assigned.

Requirements:

* Applicants must be authorized to work in the United States. In alignment with federal contract requirements, certain roles may also require U.S. citizenship and the ability to obtain and maintain a federal background investigation and/or a security clearance.

Education:

* Bachelor’s Degree

Benefits:

* Fully remote
* Tech & Education Stipend
* Comprehensive Benefits Package
* Company Match 401(k) plan
* Flexible PTO, Paid Holidays

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities:

Oddball is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact an Oddball HR representative to request such an accommodation by emailing hello@Oddball.io

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)

Compensation:

At Oddball, it’s important each employee is compensated competitively and fairly. In alignment with state legal requirements. A range for the included position is listed below. Be advised, actual offer details are determined by job category, job location, and candidate skill level.

United States Wage Range: $100,000 – $140,000

Show more

[Apply now >](https://jobicy.com/jobs/152170-data-engineer-3.md)

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