Senior Data Engineer

Pinnacle

$108K — $130K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6+ years of software/data engineering experience
  • 5+ years of dimensional data modeling & schema design
  • 3+ years of data pipeline/processing experience
  • Experience with Azure Cloud tools and architecture
  • Direct experience with at least one full cloud data pipeline project deployment

Responsibilities

  • Integrate with 3rd party data integration platforms
  • Partner with the DevOps team to build optimal ETL solutions
  • Empower data scientists to develop their own ETL pipelines
  • Identify hidden patterns in data
  • Automate tasks where applicable
  • Document designs and provide development estimates
  • Collaborate effectively with Product, QA, and DevOps teams

Benefits

  • Health, vision, and dental insurance, life insurance, 401(k) matching, paid time off (PTO), nine paid holidays
  • Onsite gym and various collaboration spaces
  • Quarterly town hall meetings and length of service awards
  • Access to ongoing training and leadership development programs
Full Job Description

Job Description

At Pinnacle, our vision is to make the world reliable, one customer at a time.

What does Reliability mean to you? For Pinnacle, reliability means our customers can trust that their facilities operate when and how they are supposed to. With a focus on data, Pinnacle drives to increase safety, efficiency, and evolve facilities to an optimized state through reliability. Pinnacle serves a variety of Industries, including:
• Oil & Gas
• Food & Beverage
• Specialty & Petrochemical
• Pharmaceutical
• Mining
• Agriculture & Fertilizer
• Lumber
• Water & Wastewater
Rooted in exploration, we constantly seek innovative ways to enhance industrial reliability. By fostering team development and embracing growth, we deliver added value to customers, creating a lasting global impact. This commitment drives us to cultivate bold future leaders, continuously reshaping the understanding of reliability.

Innovation resides at the heart of our core values—excellence, impact, and growth—propelling us toward our vision.

Position
Senior Data Engineer

Job Summary
As a Senior Data Engineer, you will play a critical role in developing a data platform that allows our Data Scientist and Software Engineers to get from concept to production with less friction. You will be responsible for the end to end process of designing, developing, testing, and deploying data integration workflows. The Senior Data Engineer will also be responsible for guiding and mentoring new members of the data engineering team and developing cloud-native solutions with low time to market by leveraging Agile, DevOps methodologies.

Job Duties

  • Integrate with 3rd party data integration platforms
  • Partner with the DevOps team to build the optimal solutions for extract, transform, and load between SQL DB’s, data API’s, and a yet to be determined solution for dynamic reporting
  • Empower data scientists and software developers to develop their own ETL pipelines while serving as gatekeeper for ETL that goes to production
  • Find hidden patterns using data
  • Discover tasks that can be automated
  • Articulate and document designs as needed
  • Provide estimates and status for development tasks
  • Work effectively in a highly collaborative and iterative development process
  • Work effectively with Product, QA, and DevOps teams
  • Troubleshoot issues and correct defects when required

Accountabilities/Results/Success for this role   

  • Designing, Developing, & Maintaining Data Stores & Pipelines: Designing and implementing high quality data engineering solutions meeting the needs of the data scientists and ultimately our end users
  • Driving Technology Innovation: Spur innovation that allows data scientists to move from prototype running on the laptop to production-hardened and scalable product in less time
  • Planning Software Releases: Participating in sprint and release planning, including defining tasks and providing estimates

Measures/Targets (meets expectations)

Percentage of projects delivered on time

80%

Utilization

50%

Number of Data Pipelines and Playbooks delivered each quarter

3

Required Qualifications/Skills/Competencies

  • 6+ years of software/data engineering experience
  • 5+ years of experience with dimensional data modeling & schema design in data warehouses or PaaS that replaces the need for a DW
  • 3+ years of data pipeline/processing experience
  • Experience working with Azure Cloud tools and architecture
  • Candidates must have direct work experience developing and deploying at least one project where they implemented the full cloud data pipeline documented on their resume

Preferred Qualifications/Software knowledge

  • Experience with Docker contains, including containerizing services and deploy in a cloud environment
  • Experience using scripting languages, such as bash or PowerShell
  • Experience with Cognite Data Fusion is a plus
  • Basic understanding of ins and outs of data science algorithms

Benefits

The Complete You

  • Health, vision, and dental insurance, life insurance, 401(k) matching, paid time off (PTO), nine paid holidays, 8 hours of volunteer paid time off (VPTO), and maternity and parental leave. 

Campus Perks

  • Onsite gym with full amenities, walking workstations, free parking, mini mart/snack machines, gourmet coffee machines, multiple indoor and outdoor collaboration areas, huddle rooms, deep workspaces, and lactation facilities.

Company Celebrations 

  • Quarterly town hall and fellowships, length of service awards where employees receive additional paid time off and bonuses to cover travel expenses for anniversary milestone trips (5, 10, and 15 years). 

Empowering You for Success

  • Opportunity to participate in customer-focused project management groups (PODs) that help facilitate collaboration and project support, access to company technology stack of Microsoft Office 365 Suite and MS Teams, comprehensive onboarding, on-demand training, regular lunch and learns, supervisor and accountability training, leadership development programs, continuous learning opportunities, and more.

Working Environment  

  • Conditions may include working inside and/or outside.  May work around office machinery with moving parts and moving objects.  Working near radiant and electrical energy.  Working closely with others or working alone.  Working extended or irregular hours and travelling by all possible modes of transportation.

Physical Job Requirements

  • Ability to walk, stand, sit, kneel, push, stoop, reach above the shoulder, grasp, pull, bend repeatedly, climb stairs, identify colors, hear with aid, see, write, count, read, speak, analyze, lift and carry under 30 lbs., and perceive depth.

Tools and PPE Requirements

  • Equipment (machines, tools, devices) used in performing the essential job function include but not limited to computers and related equipment, calculators, copiers, fax machines, and telephone. 

Limitations and Disclaimer

This job description describes the general job duties, accountabilities and physical requirements associates with the position; it is not an exhaustive list of all the duties, accountabilities, or skills required for the position.

The general job duties, accountabilities and physical requirements associated with the position are subject to modification to reasonably accommodate individuals with disabilities. Some physical requirements may exclude individuals who pose a threat or risk to the health or safety to themselves or others.

This job description neither states nor implies that the listed general job duties, accountabilities, and physical requirements associated with the position are the only tasks expected of an employee. An employee is also required to follow any other job-related instructions and perform any other job-related tasks requested by their supervisor and not in violation of any applicable laws, regulations, or rules.

Requirements are representative of minimum levels of knowledge, skills, and abilities. To perform this job successfully, an employee must possess the abilities and aptitude to perform each duty, accountability, and physical requirement proficiently.

Visa Sponsorship: Employment eligibility to work with Pinnacle in the U.S. is required. This employer will not sponsor any applicants for the following work visa in this job category:  H-1B - Cap Subject (Change of Status or Consular Notification).  Note that an H-1B Change of Employer is generally not considered to be Cap Subject.

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