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Target Etl Jobs in Hawaii (NOW HIRING)

Bigbear.ai

Data Engineer

Honolulu, HI

$75K - $113K/yr

Proficiency in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks is crucial for ensuring efficient data ingest, processing and analysis. You will develop and manage ...

BigBear.ai

Data Engineer

Honolulu, HI · On-site

$113K - $136K/yr

Proficiency in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks is crucial for ensuring efficient data ingest, processing and analysis. You will develop and manage ...

BigBear.ai

Data Engineer with Security Clearance

Honolulu, HI · On-site

$113K - $135K/yr

Proficiency in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks is crucial for ensuring efficient data ingest, processing and analysis. You will develop and manage ...

Bigbear.ai

Data Engineer

Honolulu, HI · On-site

$75K/yr

Proficiency in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks is crucial for ensuring efficient data ingest, processing and analysis. You will develop and manage ...

First Hawaiian, Inc.

Data Management Officer

Honolulu, HI · On-site

$100K - $125K/yr

Proficient in developing database specifications and documentation * ETL development (Informatica, etc.) * Data warehouse design, development and support * Knowledge of business intelligence and ...

First Hawaiian Bank

Data Management Officer

Honolulu, HI · On-site

... ETL), analysis, design, testing, conversions, interfaces and other system implementation activities. • Also provides administrative and operational support in accordance with established policies ...

Cymertek

Data Warehouse Engineer

Honolulu, HI · On-site

You will be responsible for implementing ETL processes, maintaining data quality, and ensuring the scalability of our data warehouse systems. The ideal candidate has a strong foundation in data ...

DatamanUSA, LLC

Project Manager

Honolulu, HI · On-site

... ETL, and legacy system integration experience *) Hands-on with SaaS or enterprise software deployment *) Understanding regulatory compliance: HIPAA, GDPR, or equivalent

HMSA

System Analyst

Honolulu, HI · On-site

May adjust ETL processes to maximize efficiency of business user queries. * Utilizes middleware tools for designing and developing solutions when required. * May develop or modify application ...

Pae

Data Engineer Mid

Joint Base Pearl Habor Hickam, HI

$118K - $141K/yr

The Data Engineer implements extract, transform, load (ETL) processes and real-time data processing solutions that facilitate the ingestion, transformation, and integration of diverse intelligence ...

Bespoke Labs

Data Engineer

Pearl City, HI · On-site

$118K - $142K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Mililani, HI · On-site

$110K - $133K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

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Data Engineer

Bigbear.ai

Honolulu, HI

$75K - $113K/yr

Full-time

Posted 5 days ago

Job description

Overview

BigBear.ai is seeking a Data Engineer to support a program in Honolulu, HI. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our Advana data infrastructure, pipelines and systems. Proficiency in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks is crucial for ensuring efficient data ingest, processing and analysis. You will develop and manage ETL processes and data pipelines across various government platforms, working with a wide range of data types.

This is an ideal opportunity to be part of one of the fastest growing AI/ML companies in the industry. At BigBear.ai, we're in this business together. We own it, we make it thrive, and we enjoy the challenges of our work. We know that our employees play the largest role in our continual success. That is why we foster an environment of growth and development, with an emphasis on opportunity, recognition, and work-life balance. We give the same high level of commitment to our employees that we give to our clients. If BigBear.ai sounds like the place where you want to be, we'd enjoy speaking with you.


Responsibilities

  • Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
  • Create and optimize data pipelines from scratch, ensuring scalability, reliability, and high-performance processing.
  • Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets.
  • Leverage big data technologies to efficiently process and analyze large datasets, particularly those encountered in a federal agency.
  • Troubleshoot data-related problems and provide innovative solutions to address complex data challenges.
  • Implement and enforce data governance policies and procedures, ensuring compliance with regulatory requirements and industry best practices.
  • Work closely with cross-functional teams to understand data requirements and design optimal data models and architectures.
  • Collaborate with data scientists, analysts, and stakeholders to provide timely and accurate data insights and support decision-making processes.
  • Maintain documentation for software applications, workflows, and processes.
  • Stay updated with emerging trends and advancements in data engineering and recommend suitable tools and technologies for continuous improvement.

Qualifications

  • Bachelor's Degree and 0 to 2 years of experience; 6 to 8 years with no degree
  • Must maintain an active TS/SCI clearance
  • 1+ years of Python experience including developing, running, packaging, and testing Python scripts
  • Experience with distributed version control systems (VCS)
  • Experience with the entire ETL/ELT pipeline, including data ingestion, data normalization, data preparation, and database design
  • Experience with conducting exploratory data analysis to communicate qualitative and quantitative findings to analysts
  • Experience processing and fusing structured and unstructured data
  • Experience with data engineering projects supporting data science and AI/ML workloads
  • Experience creating solutions within a collaborative, cross-functional team environment in team sprint cycles