bluedoor data·Job Postings API·bluedoor.sh ↗

HomeCompaniesExparteincLead Data Engineer

Lead Data Engineer

Exparteinc · Bethesda, MD, United States · Remote · Active · $250 · SmartRecruiters

Job facts

FieldValue
CompanyExparteinc
TitleLead Data Engineer
Normalized title-
Department / teamEngineering
LocationBethesda, MD, United States
Work modelRemote / Remote
Employment typeFull Time
Salary$250
Statusactive
ATS providerSmartRecruiters
Posted / first seen2022-05-11 / 2026-05-31
Changed / last seen2026-05-31 / 2026-06-22

Related slices

PageWhat it containsOpen
Company jobsActive postings from Exparteinc.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through SmartRecruiters.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Bethesda.Open
Department jobsActive postings in Engineering.Open
Work model jobsActive Remote 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

CompanyExparteinc
Sourcec7cc14b6-e534-4878-8ba4-fc3a3e8952cd
ATS providerSmartRecruiters

Description

Ex Parte  provides our customers with the data and insight to make smart and informed decisions on the most important legal issues facing their organizations. We are is looking for talented, enthusiastic senior data engineers who share our passion for big data, AI, and machine learning and are excited by seemingly-impossible challenges. As an early employee, you must be amazingly entrepreneurial and thrive in a fast-paced environment where the solutions aren’t predefined. Every year, corporations spend more than $250B on litigation in the United States alone. And yet, critical decisions such as whether to litigate or settle, or where to file suit or which attorney to hire, are all made the same way they were 100 years ago. We are applying artificial intelligence, machine learning, and natural language processing to provide our customers with the insight they need to make highly informed decisions and gain a winning advantage. Think of it like Moneyball, but for a market more than 20x the size of Major League Baseball. You’ll lead a team that owns the AI self-service portal and the related set of microservices. You’ll work with a cross-functional team of engineers to contribute to our data platform.  The role also offers the opportunity to grow into either more back-end or ML/AI work depending on your interests and experience. In this role, you can expect to: ·       Work directly with product owners and data experts to build products that solve to solve complex client problems ·       Build and support a distributed platform supporting all ExParte data ·       Work across our product, primarily on the data pipelines ·       Interface directly with internal teams ·       Evaluate software and implementation options and document them for technical teams ·       Work with data analysts to collect insight on possible data collection efficiencies and identify automation potential for manual workflows ·       Integrate best qualitative practices in program design and development. ·       Be a part of a distributed team (we’re in North America and Europe) ·       Work with Azure cloud and Databricks ·       Develop technical architectures and specific implementations to meet business needs. ·       Guide the team’s software engineering best practices by documenting standards and completing code reviews. ·       Troubleshoot new and existing code and provide feedback and solutions to structural issues in the codebase as they arise. ·       Advise on the feasibility of nonfunctional requirements and ensure the successful implementation of features while meeting those requirements. Requirements : ·       3+ years experience with RDBMS and T-SQL. ·       3+ years experience with NoSQL and DataLakes. ·       3+ Knowledge of Spark, Python, or Scala ·       Strong familiarity with map/reduce programming models ·       Proficiency in writing production-quality code ·       Deep expertise in database schema design, optimization, and scalability ·       Experience with Azure or AWS cloud-based service-oriented architecture ·       Solid understanding of testing pyramid (unit, integration, black box, service) ·       Experience working in an Agile/Scrum environment ·       Strong analytical and problem-solving skills ·       Good time management and organizational skills ·       Ability to work on challenging issues independently or in a team environment ·       Ability to learn and adapt quickly to new technologies and environments ·       Strong communication skills Nice-to-have's: ·       Experience with Databricks or Azure ML ·       Experience applying machine learning algorithms to solve complex data mining problems ·       Experience with BI tools ·       Understanding of cloud platforms and providers and DevOps ·       Bachelor's Degree in Computer Science, Engineering, Mathematics or related field All your information will be kept confidential according to EEO guidelines.

Full job record

Job IDf2e2d65fba426d5c42805a90d119be4b688872b5
Org IDc54bd9c4-93db-4eb2-9ec2-dd195d4e5562
Source IDc7cc14b6-e534-4878-8ba4-fc3a3e8952cd
Board IDc7cc14b6-e534-4878-8ba4-fc3a3e8952cd
Providersmartrecruiters
Provider Job Key743999825886494
TitleLead Data Engineer
Normalized Title
Statusactive
Activeyes
Location TextBethesda, MD, United States
DepartmentEngineering
Team
Employment Typefull_time
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionMD
CityBethesda
Salary RawEx Parte  provides our customers with the data and insight to make smart and informed decisions on the most important legal issues facing their organizations. We are is looking for talented, enthusiastic senior data engineers who share our passion for big data, AI, and machine learning and are excited by seemingly-impossible challenges. As an early employee, you must be amazingly entrepreneurial and thrive in a fast-paced environment where the solutions aren’t predefined. Every year, corporations spend more than $250B on litigation in the United States alone. And yet, critical decisions such as whether to litigate or settle, or where to file suit or which attorney to hire, are all made the same way they were 100 years ago. We are applying artificial intelligence, machine learning, and natural language processing to provide our customers with the insight they need to make highly informed decisions and gain a winning advantage. Think of it like Moneyball, but for a market more than 20x the size of Major League Baseball. You’ll lead a team that owns the AI self-service portal and the related set of microservices. You’ll work with a cross-functional team of engineers to contribute to our data platform.  The role also offers the opportunity to grow into either more back-end or ML/AI work depending on your interests and experience. In this role, you can expect to: ·       Work directly with product owners and data experts to build products that solve to solve complex client problems ·       Build and support a distributed platform supporting all ExParte data ·       Work across our product, primarily on the data pipelines ·       Interface directly with internal teams ·       Evaluate software and implementation options and document them for technical teams ·       Work with data analysts to collect insight on possible data collection efficiencies and identify automation potential for manual workflows ·       Integrate best qualitative practices in program design and development. ·       Be a part of a distributed team (we’re in North America and Europe) ·       Work with Azure cloud and Databricks ·       Develop technical architectures and specific implementations to meet business needs. ·       Guide the team’s software engineering best practices by documenting standards and completing code reviews. ·       Troubleshoot new and existing code and provide feedback and solutions to structural issues in the codebase as they arise. ·       Advise on the feasibility of nonfunctional requirements and ensure the successful implementation of features while meeting those requirements. Requirements : ·       3+ years experience with RDBMS and T-SQL. ·       3+ years experience with NoSQL and DataLakes. ·       3+ Knowledge of Spark, Python, or Scala ·       Strong familiarity with map/reduce programming models ·       Proficiency in writing production-quality code ·       Deep expertise in database schema design, optimization, and scalability ·       Experience with Azure or AWS cloud-based service-oriented architecture ·       Solid understanding of testing pyramid (unit, integration, black box, service) ·       Experience working in an Agile/Scrum environment ·       Strong analytical and problem-solving skills ·       Good time management and organizational skills ·       Ability to work on challenging issues independently or in a team environment ·       Ability to learn and adapt quickly to new technologies and environments ·       Strong communication skills Nice-to-have's: ·       Experience with Databricks or Azure ML ·       Experience applying machine learning algorithms to solve complex data mining problems ·       Experience with BI tools ·       Understanding of cloud platforms and providers and DevOps ·       Bachelor's Degree in Computer Science, Engineering, Mathematics or related field All your information will be kept confidential according to EEO guidelines.
Salary Min250
Salary Max
Salary CurrencyUSD
Salary Period
Source URLhttps://jobs.smartrecruiters.com/ExParteInc/743999825886494-lead-data-engineer
Apply URLhttps://jobs.smartrecruiters.com/ExParteInc/743999825886494-lead-data-engineer?oga=true
First Seen At2026-05-31 17:43:59Z
Last Seen At2026-06-22 12:00:32Z
Last Checked At2026-06-22 12:00:32Z
Last Changed At2026-05-31 17:43:59Z
Inactive At
Source Posted At2022-05-11 13:57:07Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=smartrecruiters/board=exparteinc/date=2026-06-22/2026-06-22T12-00-31-048Z-13c527369076f6cbe6b05049fafce3a54f8d470c851041b3ad1d50c492446779.json
Event Fields
{
  "content_hash": "859a98d37207dda60374806f802c6e04810078baca337598f7721b6445765651",
  "source_hash": "13f87ed54c7a97be1d3da9eea1d7f0d4de21f6427b6d0c5c59ba993f6ebde839",
  "last_changed_at": "2026-05-31T17:43:59.914Z",
  "active_status": "active"
}
Parsed Structured
{
  "dedupe": null,
  "language": "en",
  "location": {
    "raw": "Bethesda, MD, United States",
    "city": "Bethesda",
    "region": "MD",
    "country": "United States",
    "is_remote": true,
    "confidence": 0.8
  },
  "salary_max": null,
  "salary_min": 250,
  "inferred_at": "2026-06-22T12:00:32.623Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Bethesda, MD, United States",
      "city": "Bethesda",
      "region": "MD",
      "country": "United States",
      "is_remote": true,
      "confidence": 0.8
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "remote",
  "salary_period": null,
  "workplace_type": "remote",
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
{
  "id": "743999825886494",
  "ref": "https://api.smartrecruiters.com/v1/companies/exparteinc/postings/743999825886494",
  "name": "Lead Data Engineer",
  "uuid": "5c97e754-bd27-4f94-8e03-3b7663e9aeb7",
  "detail": {
    "id": "743999825886494",
    "name": "Lead Data Engineer",
    "uuid": "5c97e754-bd27-4f94-8e03-3b7663e9aeb7",
    "jobAd": {
      "sections": {
        "jobDescription": {
          "text": "<p>You’ll lead a team that owns the AI self-service portal and the related set of microservices. You’ll work with a cross-functional team of engineers to contribute to our data platform.&#xa0; The role also offers the opportunity to grow into either more back-end or ML/AI work depending on your interests and experience.</p><p>In this role, you can expect to:</p><p><span>·&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; Work directly with product owners and data experts to build products that solve to solve complex client problems</span></p><p>·&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; Build and support a distributed platform supporting all ExParte data</p><p>·&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; Work across our product, primarily on the data pipelines</p><p>·&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; Interface directly with internal teams</p><p>·&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; Evaluate software and implementation options and document them for technical teams</p><p>·&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; Work with data analysts to collect insight on possible data collection efficiencies and identify automation potential for manual workflows</p><p>·&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; Integrate best qualitative practices in program design and development.</p><p>·&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; Be a part of a distributed team (we’re in North America and Europe)</p><p>·&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; Work with Azure cloud and Databricks</p><p>·&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; Develop technical architectures and specific implementations to meet business needs.</p><p>·&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; Guide the team’s software engineering best practices by documenting standards and completing code reviews.</p><p>·&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; Troubleshoot new and existing code and provide feedback and solutions to structural issues in the codebase as they arise.</p><p>·&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; Advise on the feasibility of nonfunctional requirements and ensure the successful implementation of features while meeting those requirements.</p>",
          "title": "Job Description"
        },
        "qualifications": {
          "text": "<p><u><strong>Requirements</strong></u>:</p><p>·&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; 3+ years experience with RDBMS and T-SQL.</p><p>·&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; 3+ years experience with NoSQL and DataLakes.</p><p>·&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;3+ Knowledge of Spark, Python, or Scala</p><p>·&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; Strong familiarity with map/reduce programming models</p><p>·&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; Proficiency in writing production-quality code</p><p>·&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; Deep expertise in database schema design, optimization, and scalability</p><p>·&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; Experience with Azure or AWS cloud-based service-oriented architecture</p><p>·&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; Solid understanding of testing pyramid (unit, integration, black box, service)</p><p>·&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; Experience working in an Agile/Scrum environment</p><p>·&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; Strong analytical and problem-solving skills</p><p>·&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; Good time management and organizational skills</p><p>·&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; Ability to work on challenging issues independently or in a team environment</p><p>·&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; Ability to learn and adapt quickly to new technologies and environments</p><p>·&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; Strong communication skills</p><p><u><strong>Nice-to-have's:</strong></u></p><p>·&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; Experience with Databricks or Azure ML</p><p>·&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; Experience applying machine learning algorithms to solve complex data mining problems</p><p>·&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; Experience with BI tools</p><p>·&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; Understanding of cloud platforms and providers and DevOps</p><p>·&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; Bachelor's Degree in Computer Science, Engineering, Mathematics or related field</p>",
          "title": "Qualifications"
        },
        "companyDescription": {
          "text": "<p><strong>Ex Parte</strong>&#xa0;provides our customers with the data and insight to make smart and informed decisions on the most important legal issues facing their organizations.</p><p>We are is looking for talented, enthusiastic senior data engineers who share our passion for big data, AI, and machine learning and are excited by seemingly-impossible challenges. As an early employee, you must be amazingly entrepreneurial and thrive in a fast-paced environment where the solutions aren’t predefined.</p><p>Every year, corporations spend more than $250B on litigation in the United States alone. And yet, critical decisions such as whether to litigate or settle, or where to file suit or which attorney to hire, are all made the same way they were 100 years ago.</p><p>We are applying artificial intelligence, machine learning, and natural language processing to provide our customers with the insight they need to make highly informed decisions and gain a winning advantage. Think of it like Moneyball, but for a market&#xa0;more than 20x the size of Major League Baseball.</p>",
          "title": "Company Description"
        },
        "additionalInformation": {
          "text": "<p>All your information will be kept confidential according to EEO guidelines.</p>",
          "title": "Additional Information"
        }
      }
    },
    "jobId": "535cc5e2-9595-4aff-8fbf-0c197a7eb605",
    "active": true,
    "company": {
      "name": "Ex Parte, Inc",
      "identifier": "ExParteInc"
    },
    "creator": {
      "name": "Roman Weisert",
      "avatarUrl": "https://c.smartrecruiters.com/sr-employee-image-prod-aws-dc5/61b3b1b25a6fb40e39dde00a?r=s3-eu-central-1&_1651941484553"
    },
    "jobAdId": "a23cca48-f1f9-4711-b115-80d7ff690b10",
    "applyUrl": "https://jobs.smartrecruiters.com/ExParteInc/743999825886494-lead-data-engineer?oga=true",
    "function": {
      "id": "engineering",
      "label": "Engineering"
    },
    "industry": {
      "id": "computer_software",
      "label": "Computer Software"
    },
    "language": {
      "code": "en",
      "label": "English",
      "labelNative": "English (US)"
    },
    "location": {
      "city": "Bethesda",
      "hybrid": false,
      "region": "MD",
      "remote": true,
      "address": "7315 Wisconsin Avenue",
      "country": "us",
      "latitude": "38.9826881",
      "longitude": "-77.0928692",
      "postalCode": "20814",
      "fullLocation": "Bethesda, MD, United States"
    },
    "refNumber": "REF3S",
    "postingUrl": "https://jobs.smartrecruiters.com/ExParteInc/743999825886494-lead-data-engineer",
    "visibility": "PUBLIC",
    "customField": [
      {
        "fieldId": "COUNTRY",
        "valueId": "us",
        "fieldLabel": "Country/Region",
        "valueLabel": "United States"
      },
      {
        "fieldId": "61b36d9339c27602362652b1",
        "valueId": "default",
        "fieldLabel": "Brands",
        "valueLabel": "Ex Parte, Inc"
      }
    ],
    "referralUrl": "https://jobs.smartrecruiters.com/external-referrals/company/ExParteInc/publication/5c97e754-bd27-4f94-8e03-3b7663e9aeb7?dcr_ci=ExParteInc",
    "defaultJobAd": true,
    "releasedDate": "2022-05-11T13:57:07.000Z",
    "experienceLevel": {
      "id": "mid_senior_level",
      "label": "Mid-Senior Level"
    },
    "typeOfEmployment": {
      "id": "permanent",
      "label": "Full-time"
    }
  },
  "company": {
    "name": "Ex Parte, Inc",
    "identifier": "ExParteInc"
  },
  "creator": {
    "name": "Roman Weisert"
  },
  "jobAdId": "a23cca48-f1f9-4711-b115-80d7ff690b10",
  "function": {
    "id": "engineering",
    "label": "Engineering"
  },
  "industry": {
    "id": "computer_software",
    "label": "Computer Software"
  },
  "language": {
    "code": "en",
    "label": "English",
    "labelNative": "English (US)"
  },
  "location": {
    "city": "Bethesda",
    "hybrid": false,
    "region": "MD",
    "remote": true,
    "address": "7315 Wisconsin Avenue",
    "country": "us",
    "latitude": "38.9826881",
    "longitude": "-77.0928692",
    "postalCode": "20814",
    "fullLocation": "Bethesda, MD, United States"
  },
  "refNumber": "REF3S",
  "department": {},
  "visibility": "PUBLIC",
  "customField": [
    {
      "fieldId": "COUNTRY",
      "valueId": "us",
      "fieldLabel": "Country/Region",
      "valueLabel": "United States"
    },
    {
      "fieldId": "61b36d9339c27602362652b1",
      "valueId": "default",
      "fieldLabel": "Brands",
      "valueLabel": "Ex Parte, Inc"
    }
  ],
  "defaultJobAd": true,
  "releasedDate": "2022-05-11T13:57:07.000Z",
  "detail_errors": [],
  "experienceLevel": {
    "id": "mid_senior_level",
    "label": "Mid-Senior Level"
  },
  "typeOfEmployment": {
    "id": "permanent",
    "label": "Full-time"
  }
}
Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/f2e2d65fba426d5c42805a90d119be4b688872b5?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/c54bd9c4-93db-4eb2-9ec2-dd195d4e5562JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/c7cc14b6-e534-4878-8ba4-fc3a3e8952cdJSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/f2e2d65fba426d5c42805a90d119be4b688872b5/eventsJSON