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Find Data Engineer Job in Pittsburgh, Pennsylvania
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Data Engineer

  • ... Pittsburgh, Pennsylvania, United States
  • ... Full time
  • ... Salary: 85 per hour
  • Posted on: Mar 12, 2024       Expires on: Apr 26, 2024

Data Engineer   

JOB TITLE:

Data Engineer

JOB TYPE:

Contract

JOB LOCATION:

Pittsburgh Pennsylvania United States

JOB DESCRIPTION:

Job Summary

We are seeking an exceptional and experienced data engineer who shares our passion and obsession with quality.
You'll be a core member of our product and engineering team dedicated to helping our clients replace time-consuming, manual processes to reach informed real-time decisions about government markets, competitors, and agency relationships.
We need a skilled and dedicated data nerd to join our team to lead us in uncovering truth and meaning in data.
You must be a hands-on engineer with a strong understanding of both data management and governance standards.
You must also have strong interpersonal skills to work cross-functionally across internal teams as well as directly with end users and Govini platform SMEs.


In order to do this job well, you must be a curious and eager problem solver with a hunger for delivering high-quality data solutions.
You have a passion for great work and nothing less than your best will do.
You share our intolerance of mediocrity.
You're uber-smart, challenged by figuring things out and producing simple solutions to complex problems.
Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward.
You're scrappy.
We like scrappy.


This role is a full-time position located out of our office in Pittsburgh, PA.
Local to Pittsburgh is preferred, but if we find a solid candidate remote, the expectation would be to visit the PA office at least 1x a month.


This role will require 75- 80% travel

location: Pittsburgh, Pennsylvania

job type: Contract

salary: $84 - 85 per hour

work hours: 8am to 5pm

education: Bachelors

Responsibilities

Required Skills -

Data, SQL, RDBMS

Job Duties -

  • Define and lead data lifecycle strategy across data acquisition, data ingestion, data cleansing, normalization and linkage.
  • Ensure key entities within datasets are identified, resolved and linked to existing entities within the current master data repository.
  • Apply various techniques to produce solutions to large-scale optimization problems, including data pre-processing, indexing, blocking, field and record comparison and classification.
  • Improve data sharing, increase data repurposing and improve cost efficiency associated with data management efforts.
  • Build best practices that help with chain of custody of data so it can be easily traced back to the source for accuracy and consistency.
  • Work across functional teams to understand advanced statistical, machine learning, and text processing models and incorporate them into the client's existing data engineering infrastructure.
  • Perform exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns.
  • Work directly with users as well as SMEs to establish, create and populate optimal data architectures and structures, as well as articulate techniques and results using non-technical language.


Job Requirements -

  • U.
    S.
    Citizenship is required
  • Bachelor's degree in Computer Science, Mathematics or a related technical field
  • 3-5 years experience with programmatically transforming data
  • Experience with RDBMS
  • Advanced SQL programming skills
  • Proficient usage of common data formats such as CSV, XML, and JSON
  • Requires strong analytical ability and attention to detail
  • Ability to work independently with little supervision
  • A burning desire to tackle hard problems and create sustainable solutions

Desired Skills & Experience -

  • Current possession of a U.
    S.
    security clearance, or the ability to obtain one with our sponsorship
  • Experience in or exposure to the nuances of a startup or other entrepreneurial environment
  • Experience using Amazon Web Services
  • Experience in or exposure to the nuances of a startup or other entrepreneurial environment
  • Working knowledge with large (multiple terabytes) amounts of data

Qualifications

  • Experience level: Experienced
  • Minimum 3 years of experience
  • Education: Bachelors

Skills

  • Data Analysis

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.


At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants.
If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.
com.


Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc.
In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).


Applications accepted on ongoing basis until filled.

Position Details

POSTED:

Mar 12, 2024

EMPLOYMENT:

Full-time

SALARY:

85 per year

SNAPRECRUIT ID:

S-1710390364-00d427cdee71374f5b114ae0f64dc0c4

LOCATION:

Pennsylvania United States

CITY:

Pittsburgh

Job Origin:

jpick2

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Job Summary

We are seeking an exceptional and experienced data engineer who shares our passion and obsession with quality. You'll be a core member of our product and engineering team dedicated to helping our clients replace time-consuming, manual processes to reach informed real-time decisions about government markets, competitors, and agency relationships. We need a skilled and dedicated data nerd to join our team to lead us in uncovering truth and meaning in data. You must be a hands-on engineer with a strong understanding of both data management and governance standards. You must also have strong interpersonal skills to work cross-functionally across internal teams as well as directly with end users and Govini platform SMEs.

In order to do this job well, you must be a curious and eager problem solver with a hunger for delivering high-quality data solutions. You have a passion for great work and nothing less than your best will do. You share our intolerance of mediocrity. You're uber-smart, challenged by figuring things out and producing simple solutions to complex problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward. You're scrappy. We like scrappy.

This role is a full-time position located out of our office in Pittsburgh, PA. Local to Pittsburgh is preferred, but if we find a solid candidate remote, the expectation would be to visit the PA office at least 1x a month.

This role will require 75- 80% travel

location: Pittsburgh, Pennsylvania

job type: Contract

salary: $84 - 85 per hour

work hours: 8am to 5pm

education: Bachelors

Responsibilities

Required Skills -

Data, SQL, RDBMS

Job Duties -

  • Define and lead data lifecycle strategy across data acquisition, data ingestion, data cleansing, normalization and linkage.
  • Ensure key entities within datasets are identified, resolved and linked to existing entities within the current master data repository.
  • Apply various techniques to produce solutions to large-scale optimization problems, including data pre-processing, indexing, blocking, field and record comparison and classification.
  • Improve data sharing, increase data repurposing and improve cost efficiency associated with data management efforts.
  • Build best practices that help with chain of custody of data so it can be easily traced back to the source for accuracy and consistency.
  • Work across functional teams to understand advanced statistical, machine learning, and text processing models and incorporate them into the client's existing data engineering infrastructure.
  • Perform exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns.
  • Work directly with users as well as SMEs to establish, create and populate optimal data architectures and structures, as well as articulate techniques and results using non-technical language.

Job Requirements -

  • U.S. Citizenship is required
  • Bachelor's degree in Computer Science, Mathematics or a related technical field
  • 3-5 years experience with programmatically transforming data
  • Experience with RDBMS
  • Advanced SQL programming skills
  • Proficient usage of common data formats such as CSV, XML, and JSON
  • Requires strong analytical ability and attention to detail
  • Ability to work independently with little supervision
  • A burning desire to tackle hard problems and create sustainable solutions

Desired Skills & Experience -

  • Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
  • Experience in or exposure to the nuances of a startup or other entrepreneurial environment
  • Experience using Amazon Web Services
  • Experience in or exposure to the nuances of a startup or other entrepreneurial environment
  • Working knowledge with large (multiple terabytes) amounts of data

Qualifications

  • Experience level: Experienced
  • Minimum 3 years of experience
  • Education: Bachelors

Skills

  • Data Analysis

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).

Applications accepted on ongoing basis until filled.

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