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Mongodb Data Engineer Jobs (NOW HIRING)

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer (ONSITE)- Receive requests from Business and perform architectural assessment and ... SQL servers/SQL databases, MongoDB, * BI Platforms: * Must Have: Power BI, Power BI Premium,

Data Engineer

Loudoun, VA · On-site

$129K - $155K/yr

Data Engineer Job Location: Reston, VA(100% Remote)(Non-Locals also will work) Position Type ... Major technologies involved include Python, AWS Glue, SQL, MongoDB, ElasticSearch, and NiFi. kills ...

Data Engineer

Rock Hill, SC · Remote

$117K - $140K/yr

Requirement - Data Engineer Location- USA Remote Contract W2 Assessment test required Assessment required - PL/SQL, Data Analysis, NoSQL (MongoDB, Cassandra, Nejo4J) ** Healthcare experience

Data Engineer

Miami, FL · On-site

$120K - $180K/yr

We are seeking a Data Engineer to join our dynamic team. The ideal candidate is an enthusiastic ... Oversee MongoDB and PostgreSQL databases, including schema design, indexing, and performance tuning.

Data Engineer

Mason, OH · On-site

$52 - $57/hr

Data Engineering Tech Lead (7-10+ Years Experience) Role Overview. * We are seeking an experienced ... SQL and NoSQL databases (e.g., MongoDB) ETL/ELT pipelines and data integration. * Data warehousing ...

Data Engineer with Mongo DB

Jersey City, NJ · On-site

$119K - $143K/yr

Data Engineer with Mongo DB Job Location : Charlotte NC / Jersey City NJ / Plano TX (ONSITE) Job ... Designing, implementing, and managing MongoDB database architectures, including schema design ...

Data Engineer

Fremont, CA · On-site

$125K - $151K/yr

Info Way Solutions is seeking a Data Engineer to join their team. The role involves strong Python ... MongoDB • Object store (S3) & data lake concepts • Git • Shell & CLI tools • REST APIs • ...

Azure Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Required : • Hands-on experience with data engineering tools and technologies including Python, SQL, Postgres, MongoDB, PySpark, Databricks, and Snowflake. • Design, develop, and optimize end-to ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

... NoSQL (MongoDB, Cassandra) and key-value stores (Redis, DynamoDB) is highly desirable. • ... data engineering. • Strong problem-solving skills and ability to optimize data processes for ...

Data Engineer

North Liberty, IA · On-site

$104K - $125K/yr

Principal Software Engineer Position Summary Centro is seeking a Data Engineer to design, develop ... Stage and transform source data within MongoDB environments and load curated datasets into ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

... MongoDB or similar) * Proficiency in atleast one scheduling/orchestration tools (preferably Airflow, alternatively AWS Step Functions or similar) * Proficiency with data structures, data ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

... MongoDB or similar) * Proficiency in atleast one scheduling/orchestration tools (preferably Airflow, alternatively AWS Step Functions or similar) * 4. Proficiency with data structures, data ...

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Mongodb Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do mongodb data engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for mongodb data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are popular job titles related to Mongodb Data Engineer jobs?

For Mongodb Data Engineer jobs, the most frequently searched job titles are:

Data Engineer

Atlanta, GA • On-site

ACI Infotech
IT Services • 11 - 50 employees

$110K - $132K/yr

Full-time

Re-posted 11 days ago


Job description

Data Engineer (ONSITE)- Receive requests from Business and perform architectural assessment and produce detailed data design documents, help translate business requirements to Technical requirements, be a SME for Azure Cloud and Databricks, bring Industry best practices to RT
Role: Data Engineer
Location: Atlanta, GA - On-Site ( Hybrid)
Position Description (General role information, job purpose, main objectives of the role)
Marketing Data Engineer will be primarily working on Customer Data Platform (CDP) implementation project, responsible for product evaluations, POC's, configurations & implementation, on-going maintenance, evolution and leading the end-to-end execution of Marketing use cases/projects powered by CDP. This position will act as a single point of contact to field all the requirements coming from the Marketing business unit to architect and deliver analytical use cases to help answer business problems and enable Client Senior Leadership to make data-driven decisions as it relates to Digital Guest Experience & Marketing.
This role is a hands-on technical SME opportunity who will be designing software and services at scale and deliver creative, compelling solutions in the cloud that are cost-effective, reliable, and stable to build Business insight derivation applications on Marketing data sets.
Duties and Responsibilities: (Scope of the role, day-to-day activities, expected outcomes, highlights any complexities associated with the role)
• Help support evaluation of Customer Data Platforms (CDPs)
• Conduct Business Requirements workshops with Marketing Business teams and document them as User Stories in Azure DevOps backlogs
• Collaborate on standards and governance of Client's next-gen CDP platform to enable a federated contribution model across multiple delivery teams
• Use Test and Learn approach to assess the fitment of Microsoft Customer Insights platform for Client
• Hands-on coding/configuration in support of Customer Data Platform implementation for Client and its on-going maintenance and product evolution
• Integrate Customer Data Platform (CDP) with Enterprise Azure Cloud Data Lake using industry best practice
• Integrate CDP with Web and Mobile applications
• Custodian of Data Collection and ingestion into Customer Data Platform, standardization, unification and segmentation of customer profiles
• Lead Proof Of Concepts (POC) for Tealium, Blueshift, Bloomreach, Segment CDP products
• Ingest Google Analytics data into CDP
• Ingest MongoDB data into CDP
• Partner with Marketing business unit to help CDP power marketers create targeted personalized marketing campaigns
• Work with Marketing Product Owners and Stakeholders to gather data requirements and deliver data products in a collaborative and agile environment
• Engineer and performance tune ETL jobs to move data from a variety of source systems and file types to fit into dimensional data models
• Work with Offshore Azure Cloud developer for translating Business Requirements in to Technical specifications and develop the Azure Data Ingestion pipelines
Work Experience/ Education: (Required work experience and education / preferred experience and education that is beneficial to the role. Work experience can include management experience or any functional expertise where proficiency is necessary to be successful in the role)
Work Experience:
    • Minimum 4 years of experience working in IT department with Data & Analytics responsibilities
    • 2+ years of hands-on programming experience (SQL, Python, Scala, Java, etc.,)
    • Recent 2+ years of experience working as Sr. Data Engineer on Azure Cloud Platforms

Work Experience: (continued)
    • 1+ years of experience working on Data and Analytics projects in support of Marketing/Loyalty/Digital Customer Experience Use Cases
    • 2+ years of experience working with Google Analytics
    • 1+ years of experience working or at least exposure on any Customer Data Platform (e.g. Microsoft CI, Segment, Tealium, Treasure Data, Informatica, Exponea, SalesForce CDP, etc.,)
    • Experience working on Data & Analytics projects using Agile methodologies
    • Previous Retail, Convenience Store/Petroleum industry experience a plus
    • Previous experience working with Punchh Loyalty platform data is a huge plus

Education:
    • Masters or Bachelor's degree in Computer Science or Information technology with specialization in Data & Analytics, Data Science, Data Engineering or related fields.
    • Any one of the generic Cloud Platform certifications (AWS, Azure, GCP, etc.,)
    • Any one of the Data & Analytics certifications (Azure Fundamentals AZ-900, DP-200: Implementing an Azure Data Solution, DP-201: Designing an Azure Data Solution, DP-203: Data Engineering on Microsoft Azure, etc.,)

Technical Skills, tools:
  • Azure Cloud technologies:
    • Must Have: ADLS Gen2, Azure Data Factory, Azure Databricks, Synapse Analytics,

Azure DevOps:-Boards, Repos, Pipelines, Test Plans
  • Databases:
    • Must Have: SQL servers/SQL databases, MongoDB,
  • BI Platforms:
    • Must Have: Power BI, Power BI Premium,
  • Other MS tools:
    • Must Have: SSMS, SSIS, Visual Studio
  • Advanced Analytics/Data Scientists tools:
    • Must Have: Google Analytics, FireBase, RStudio Server, PyCharm
  • Programming Languages:
    • Must Have: SQL, JavaScript,
  • Agile tools:
    • Must Have: Azure DevOps,