bluedoor data·Job Postings API·bluedoor.sh ↗

HomeCompaniesMakparSenior Data Engineer

Senior Data Engineer

Makpar · Washington D.C. · Hybrid · Active · Lever

Job facts

FieldValue
CompanyMakpar
TitleSenior Data Engineer
Normalized title-
Department / teamInformation Technology / IT
LocationWashington D.C., United States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary-
Statusactive
ATS providerLever
Posted / first seen2026-04-27 / 2026-05-29
Changed / last seen2026-06-06 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Makpar.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Lever.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Washington D.C..Open
Department jobsActive postings in Information Technology.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyMakpar
Sourced9507901-23d8-4f07-a97f-20b62261df84
ATS providerLever

Description

Who we are: Makpar is a comprehensive professional and technical solutions provider for the Federal government. We combine functional and technical expertise in cloud engineering, data management, cybersecurity and emerging technologies to deliver mission success. We build the right IT solution for government clients by partnering with them to understand their WHAT, WHY, and HOW. Using our signature consulting methodology that we call “The Makpar Way,” we help agencies navigate the ongoing changes in the Federal technology landscape. We succeed where others fail because of our connected and engaged workforce are dedicated to delivering success for our clients and the American people. Our Mission: We solve complex problems for the Federal government to accelerate access to citizen services. When it comes to excellence, we deliver. Learn more about our employer brand at makpar.com/careers. Makpar has an exciting opportunity for a Senior Data Engineer.  This role requires expertise in Databricks, SQL, and ETL pipelines, with strong experience building scalable data frameworks to support enterprise decision-making. Benefits: At Makpar Corporation we understand that we all need to balance work and life – that is why we have a great benefits package, excellent training and career development opportunities, flexible work schedules along with a generous compensation package. At Makpar, we believe in keeping our employees happy, healthy and engaged. We pride ourselves in providing outstanding benefits, creating environments where employees are encouraged to be themselves, collaborate, and be inquisitive in order to achieve goals. Start your career today and be a part of something meaningful! Makpar is an Equal Opportunity Employer. Key Responsibilities: Design, build, test, and maintain enterprise-scale data pipelines. Develop and optimize ETL processes, data structures, and database solutions. Create SQL queries, reports, and dashboards to support business needs. Automate workflows using Databricks Workflows and Jobs API. Support code deployment and integration through CI/CD best practices. Perform data validation, troubleshooting, and quality assurance activities. Collaborate closely with developers, analysts, and stakeholders to deliver scalable and secure data solutions. Qualifications Active Secret clearance 7+ years of professional experience in Data Engineering. Expert-level proficiency in Databricks, Apache Spark, and SQL. Strong Python and SQL development skills. Experience with ETL technologies such as Kafka, Airflow, and AWS Glue. Experience with CI/CD pipelines and GitHub/GitLab version control. Familiarity with cloud platforms such as AWS, Azure, or GCP. Bachelor’s degree in Computer Science, Data Engineering, or a related field. Strong analytical, troubleshooting, and collaboration skills. Clearance Requirement Active Secret clearance (mandatory requirement).

Full job record

Job ID246b1f2bf2160b3e04b32a36ff61497de168e638
Org ID743dd4e5-a649-48f1-a5c6-c074f7e91e16
Source IDd9507901-23d8-4f07-a97f-20b62261df84
Board IDd9507901-23d8-4f07-a97f-20b62261df84
Providerlever
Provider Job Keyc980356f-b7bc-40c7-b67e-76047e32a7c6
TitleSenior Data Engineer
Normalized Title
Statusactive
Activeyes
Location TextWashington D.C.
DepartmentInformation Technology
TeamIT
Employment TypeFull-time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
Region
CityWashington D.C.
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.lever.co/makpar/c980356f-b7bc-40c7-b67e-76047e32a7c6
Apply URLhttps://jobs.lever.co/makpar/c980356f-b7bc-40c7-b67e-76047e32a7c6/apply
First Seen At2026-05-29 07:08:45Z
Last Seen At2026-06-06 07:57:03Z
Last Checked At2026-06-06 07:57:03Z
Last Changed At2026-06-06 07:57:03Z
Inactive At
Source Posted At2026-04-27 18:53:29Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=lever/board=makpar/date=2026-06-06/2026-06-06T07-57-03-260Z-bb2629e7eb8da3cf50fa56f52a25b3b0caa9fed8929636f0ad74b87994064f5d.json
Event Fields
{
  "content_hash": "f21b9d2f2e25c5d11eab72af1e643d070d4188f771fbda052a59633961f0e42c",
  "source_hash": "e6e1aead06c0efd82cf70a166dc4902772aff7c30360f11cb429524d1da8d1eb",
  "last_changed_at": "2026-06-06T07:57:03.460Z",
  "active_status": "active"
}
Parsed Structured
{
  "language": "en",
  "location": {
    "raw": "Washington D.C.",
    "city": "Washington D.C.",
    "region": null,
    "country": "United States",
    "is_remote": false,
    "confidence": 0.9
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T07:57:03.455Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Washington D.C.",
      "city": "Washington D.C.",
      "region": null,
      "country": "United States",
      "is_remote": false,
      "confidence": 0.9
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "hybrid",
  "salary_period": null,
  "workplace_type": "hybrid",
  "salary_currency": null
}
Extensions
{}
Native Structured
{
  "lists": [
    {
      "text": "Key Responsibilities:",
      "content": "<ul style=\"margin-bottom: 0in; margin-top: 0px;\">\n<li style=\"margin: 0in 0in 0in 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;\">Design, build, test, and maintain enterprise-scale data pipelines.</li>\n<li style=\"margin: 0in 0in 0in 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;\">Develop and optimize ETL processes, data structures, and database solutions.</li>\n<li style=\"margin: 0in 0in 0in 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;\">Create SQL queries, reports, and dashboards to support business needs.</li>\n<li style=\"margin: 0in 0in 0in 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;\">Automate workflows using Databricks Workflows and Jobs API.</li>\n<li style=\"margin: 0in 0in 0in 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;\">Support code deployment and integration through CI/CD best practices.</li>\n<li style=\"margin: 0in 0in 0in 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;\">Perform data validation, troubleshooting, and quality assurance activities.</li>\n<li style=\"margin: 0in 0in 8pt 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;\">Collaborate closely with developers, analysts, and stakeholders to deliver scalable and secure data solutions.</li>\n</ul>"
    },
    {
      "text": "Qualifications",
      "content": "<ul style=\"margin-bottom: 0in; margin-top: 0px;\">\n<li style=\"margin: 0in 0in 0in 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;\">Active Secret clearance</li>\n<li style=\"margin: 0in 0in 0in 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;\">7+ years of professional experience in Data Engineering.</li>\n<li style=\"margin: 0in 0in 0in 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;\">Expert-level proficiency in Databricks, Apache Spark, and SQL.</li>\n<li style=\"margin: 0in 0in 0in 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;\">Strong Python and SQL development skills.</li>\n<li style=\"margin: 0in 0in 0in 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;\">Experience with ETL technologies such as Kafka, Airflow, and AWS Glue.</li>\n<li style=\"margin: 0in 0in 0in 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;\">Experience with CI/CD pipelines and GitHub/GitLab version control.</li>\n<li style=\"margin: 0in 0in 0in 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;\">Familiarity with cloud platforms such as AWS, Azure, or GCP.</li>\n<li style=\"margin: 0in 0in 0in 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;\">Bachelor’s degree in Computer Science, Data Engineering, or a related field.</li>\n<li style=\"margin: 0in 0in 8pt 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;\">Strong analytical, troubleshooting, and collaboration skills.</li>\n</ul>"
    },
    {
      "text": "Clearance Requirement",
      "content": "<div>\n<ul type=\"disc\" style=\"margin-top: 0in; margin-bottom: 0in;\">\n<li style=\"margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif; font-weight: bold;\"><strong>Active Secret clearance (mandatory requirement).</strong></li>\n\n</ul></div>"
    }
  ],
  "country": "US",
  "createdAt": 1777316009581,
  "updatedAt": null,
  "categories": {
    "team": "IT",
    "location": "Washington D.C.",
    "commitment": "Full-time",
    "department": "Information Technology",
    "allLocations": [
      "Washington D.C."
    ]
  },
  "salaryRange": null,
  "workplaceType": "hybrid"
}
Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/246b1f2bf2160b3e04b32a36ff61497de168e638?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/743dd4e5-a649-48f1-a5c6-c074f7e91e16JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/d9507901-23d8-4f07-a97f-20b62261df84JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/246b1f2bf2160b3e04b32a36ff61497de168e638/eventsJSON