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Senior Data Engineer
Workrise Austin, TX
Full Time | IT Outsourcing & Consulting 7 Months Ago
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Workrise is Hiring a Senior Data Engineer Near Austin, TX

As the leading workforce management solution for the energy industry, Workrise makes it easier for skilled laborers to find work, and for companies to find in-demand workers. 

The Data & Analytics team at Workrise is a centralized team that sits in the PEX (Product & Engineering) org and consists of Data Engineers, Analytics Engineers, Data Analysts & Data Scientists. We are looking for a Senior Data Engineer to bring technical leadership and engineering experience to the data team. The ideal candidate is experienced in building data pipelines as well as transforming data from its raw state into clean and consumable objects. 

Why Join us? The Data & Analytics team at Workrise is responsible for our full data stack, from data ingestion, to transformation, data warehousing, analysis/data visualization, and maintaining the tools and software needed to power this whole process. Our ultimate goal is to empower the organization and our customers with data insights to help improve daily decision making, increase operational efficiency, and identify areas of risk or improvement along the way. We do this through utilizing a modern, cloud-first data stack for everything from data ingestion to visualization.

What you'll be doing:

  • You will be responsible for building & maintaining data pipelines ingesting & processing information from various sources that feed our data lake.
  • You will also help transform raw data into consumable & curated datasets to support enterprise decisions.
  • You'll be proactively driving the technical roadmap for our data platform based on current and future demands.
  • You'll be partnering with the Data & Analytics leadership to prioritize & ensure business requirements are met.
  • You'll be creating and/or overseeing the development of data pipelines, extracting data from our various applications (internal & external sources) into the Data Platform.
  • You’ll help drive the ingestion and transformation roadmap of internal/external data sources to support the ever-changing business evolution.
  • You'll operate high-quality, cloud-based data services, ensuring uptime & performance within SLOs. 
  • You’ll work with 1st party and 3rd party data sources including external APIs and various database technologies
  • Write automated testing and monitoring for ensuring successful operation of our platform
  • Managing and maintaining our data orchestration platform, Prefect
  • Applying and ensuring data governance policies and personal data protections consistently across all of our data sources
  • Enabling the business to access and utilize data for impactful analysis guiding day to day decision making

Requirements:

  • You are comfortable and enjoy working with cross-functional teams consisting of engineering, business, and analytics.
  • You are expected to be a leader in the data organization ,ie:, coaching the team on technical matters, defining best practices, and creating coding standards and patterns that can be reused by the rest of the engineers.
  • You have built and managed Data Lakes & Data Warehouses.
  • You have 5 years of experience in a Software / Data Engineering role.
  • You are very comfortable modeling data (dims, facts, star-schema, denorm, etc.)
  • You have experience with cloud data warehouse solutions (e.g. Snowflake, BigQuery, Spark, etc)
  • Good understanding of APIs and data processing (batched and streaming).
  • Solid track record of partnering and supporting Business Intelligence, Analytics and Data Science requirements.
  • Very comfortable modeling data - both OLTP & OLAP.You are well versed in at least one cloud vendor (AWS, Azure, GCP)You have strong experience in SQL and Python.
  • Lastly, you have strong communication skills - comfortable interacting with both engineering and business focused teams.
  • Our current data stack: Snowflake, Fivetran, DBT, Prefect & GCP Cloud.

Essential Job Functions:

  • Regular, on-time attendance
  • Ability to travel 2-4 times a year to Austin, TX
  • Ability to communicate effectively
  • Ability to use office equipment such as a computer, copier and telephone
  • Ability to use office computer programs 
  • Constantly remaining in a stationary position, often standing or sitting for prolonged periods
  • Ability to manipulate office equipment such as a computer, copier and telephone

Job Summary

JOB TYPE

Full Time

INDUSTRY

IT Outsourcing & Consulting

POST DATE

09/26/2022

EXPIRATION DATE

11/10/2022

WEBSITE

workrise.com

HEADQUARTERS

BERKELEY, CA

SIZE

500 - 1,000

FOUNDED

2013

TYPE

Private

CEO

ANNE HARDY

REVENUE

$500M - $1B

INDUSTRY

IT Outsourcing & Consulting

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Workrise is a Texas-based SaaS platform that provides workforce management, recruitment and related solutions for industries such as energy, oil and and gas and construction.

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The job skills required for Senior Data Engineer include Analysis, Communication Skills, Futures, Leadership, Communicates Effectively, Partnering, etc. Having related job skills and expertise will give you an advantage when applying to be a Senior Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Senior Data Engineer. Select any job title you are interested in and start to search job requirements.

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

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If you are interested in becoming a Senior 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 Senior Data Engineer for your reference.

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

Quotes from people on Senior Data Engineer job description and responsibilities

The Senior Data Engineer builds data processing frameworks that handle the business’s growing database.

03/09/2022: Billings, MT

The Senior Data Engineer owns and extends the business’s data pipeline through the collection, storage, processing, and transformation of large data-sets.

01/05/2022: Melbourne, FL

Create architecture for real-time, big data applications with minimal maintenance effort.

03/23/2022: Benton Harbor, MI

Work with both structured and unstructured data, with focus on ETL (Extract, Transfer, Load) and stabilizing pipelines and code.

01/22/2022: Greenville, MS

Provides successful deployment and provisioning of data solutions to production or other required environments.

01/12/2022: Dothan, AL

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 Senior Data Engineer jobs

Apply for an entry-level data engineer role and gain experience.

02/06/2022: Providence, RI

Earn a bachelor’s degree related to data engineering and begin working on projects.

02/16/2022: Denver, CO

Consider pursuing additional professional engineering or big data certifications.

03/06/2022: Raleigh, NC

Gain knowledge with new data architecture principles and concepts, thorough understanding of layered systems architectures.

01/24/2022: Abilene, TX

Senior data engineers should also have an understanding of other programming languages that help with statistical analysis and modeling, such as Python.

01/02/2022: New York, NY

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

Butler University
Carroll College
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