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Prove
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Data Engineer
Prove Denver, CO
Full Time | Business Services 7 Months Ago
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sadSorry! This job is no longer available. Please explore similar jobs listed on the left.

Prove is Hiring a Data Engineer Near Denver, CO

The ideal candidate is a data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. You will be responsible for building and optimizing our data as well as building automated processes for production jobs.

You will support our software developers, database architects, data analysts and data scientists on data initiatives; you will need to be self-directed and comfortable supporting the data needs of multiple teams, systems and products.

Responsibilities

  • Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies.
  • Working with stakeholders including Finance, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues.
  • Data modeling supporting realtime & batch pipelines, integrating monitoring and alerting.
  • Crafting and updating ETL specifications and supporting documentation
  • Ensure consistency between various platform, operational, and analytic data sources to enable faster and more efficient detection and resolution of issues
  • This role will partner closely with teams to understand the data-needs of the team and ensure that the teams are able to answer hard questions with real data.
  • A successful individual should be highly collaborative and organized with a strong inquisitive mindset. You should be capable of prioritizing multiple deliverables and effectively communicate progress and blockers.

About You

Every Prover brings something unique to the table. Here is what we are looking for in this role:

Essential Skills

  • Bachelors in Computer Science, mathematics, statistics, economics, or other quantitative fields or relevant experience
  • 3 to 5 years of experience with data modeling, data warehousing, and building ETL pipelines
  • Proven experience in working in Python, bash/shell scripting, RDBMS, EDW and NoSQL environments
  • Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data.
  • Knowledge of software best practices across the development lifecycle, including coding standards, code reviews, build processes, testing, and operations

Desired Skills

  • Working knowledge in Kafka or other streaming platforms
  • Working knowledge in Apache Airflow or Pentaho
  • Experience in mySQL, Snowflake, Cassandra

Even if you do not meet all the requirements, if you are passionate about our vision, apply for the role, we would like to hear from you.

What We Offer

This information is provided per the Colorado Equal Pay Act. The salary range for this position for Colorado only starts at $110,000/yr. 

Offered salary will be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.

Prove’s Benefits include:

  • Excellent health, dental, and vision insurance that begins on your first day of employment
  • 401k plan with company match
  • Stock options
  • Participation in the annual incentive program
  • Unlimited PTO

Job Summary

JOB TYPE

Full Time

INDUSTRY

Business Services

POST DATE

09/16/2022

EXPIRATION DATE

11/21/2022

WEBSITE

payfone.com

HEADQUARTERS

NEW YORK, NY

SIZE

100 - 200

FOUNDED

2008

TYPE

Private

CEO

ROGER DESAI

REVENUE

$50M - $200M

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Payfone develops a SaaS-based platform that offers digital identity authentication solutions for businesses.

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The following is the career advancement route for Data Engineer positions, which can be used as a reference in future career path planning. As a Data Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer. You can explore the career advancement for a Data Engineer below and select your interested title to get hiring information.

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If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Data Engineer job description and responsibilities

The data engineer develops and maintains the enterprise data framework for continued use.

03/12/2022: Dothan, AL

A data engineer prepares data for analytical or operational uses.

03/03/2022: Boulder, CO

Data engineers simplify complex data structure and prevent the reduplication of data.

03/28/2022: New Suffolk, NY

Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.

04/13/2022: Harrisburg, PA

Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Engineer jobs

Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.

01/22/2022: Fort Wayne, IN

Oil changes are an essential component of preventative maintenance.

02/26/2022: Newark, NJ

A data engineer should be aligned with a data scientist’s needs while creating a data system.

04/10/2022: Fayetteville, NC

Start with an entry-level position.

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Consider pursuing additional professional engineering or big data certifications.

03/09/2022: Saginaw, MI

Step 3: View the best colleges and universities for Data Engineer.

Butler University
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