Research Data Engineer Jobs

Company Description

LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed.

Join us to transform the way the world works.

At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to the SF or Sunnyvale LinkedIn office, depending on what’s best for you and when it is important for your team to be together.

As a Research Data Engineer supporting LinkedIn Market Research you will leverage one of the richest proprietary data sets in the world to help standardize and scale research programs while answering challenging problems: How do we best advise our internal clients about Market Research? How do we scale and standardize our current tools, programs, and processes to support a growing demand? How do we measure the value and performance of our programs and tools? You will help the team leverage survey results to influence decision making and democratize member insights through innovative data pipelines, structures, programs, and processes.

Responsibilities

• Work closely with our Market Research Managers and other Program Managers to identify opportunities to conceptualize, develop, implement, and scale effective and sustainable research tools, platforms, and programs
• Proactively and effectively communicate timelines and deadlines, challenges and milestones with research stakeholders and managers
• Explore, extract, analyze and craft data-driven narratives through compelling visualizations in Tableau and internal front-end systems.
• Evangelize programs and tools to internal team and key stakeholders
• Create requirements and project plans for research tools, platforms, and processes and prioritize based on impact and effort to complete
• Leverage LinkedIn’s technology stack to standardize and scale Research Programs to support cross-functional partners
• Leverage internal Engineering tools and teams in order to shape our tech strategy and build cross-functional momentum for operational improvements
• Deliver data ETLs, tools/platforms and reporting in a timely and rigorous manner

Qualifications

Basic Qualifications

• BA/BS degree or equivalent experience
• 2+ years of experience with SQL and Tableau or equivalent
• Experience with version control systems (e.g., Git) and code deployment best practices
• 3+ years of experience with project or program management and working cross-functionally
• 3+ years of experience with managing big data pipelines, data structuring and foundations, data analysis, data storytelling, turning data into insights and presenting to internal and/or external stakeholders
• Experience with Spark/Hive/Python/R/JavaScript (Hadoop)

Preferred Qualifications

• Experience leveraging data to drive research impact
• Ability to communicate findings clearly to both technical and non-technical audiences
• Pro-activeness and creativity in troubleshooting and problem-solving
• Strong stakeholder management skills and the ability to influence peers and managers
• Experience/Familiarity with 3rd party data ingestion and regression pipelines
• Experience managing complex, multi-workstream programs
• Strong business acumen and creative problem-solving skills
• Thorough QC of your own work before delivery
• Strong intellectual curiosity; desire and ability to learn
• Experience or strong interest in Generative AI application development (LLMs like GPT-4, Langchain, etc.)
• Strong attention to detail

Suggested Skills:

• Experience with Version Control systems
• Tableau
• Project Management
• SQL
• Building and maintaining data pipelines

LinkedIn is committed to fair and equitable compensation practices.

The pay range for this role is $93,000 to $145,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.

The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.

Additional Information

Equal Opportunity Statement

LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://lnkd.in/equalemploymentopportunity2017. Please reference the following information for more information: https://legal.linkedin.com/content/dam/legal/LinkedIn_EEO_Statement_2020.pdf. Please reference the following information for more information: https://www.eeoc.gov/sites/default/files/migrated_files/employers/poster_screen_reader_optimized.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information.

LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.

If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation.

Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

• Being accompanied by a service dog
• Having a sign language interpreter present for the interview
• Documents in alternate formats or read aloud to you
• Having interviews in an accessible location

A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.

LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.

San Francisco Fair Chance Ordinance

Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.

Pay Transparency Policy Statement

As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.

Global Data Privacy Notice for Job Candidates

Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.

Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://lnkd.in/equalemploymentopportunity2017. Please reference http://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information.

LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. If you believe you need a reasonable accommodation in order to search for a job opening or to apply for a position, please contact us by sending an email to [email protected]. This email box is designed to assist disabled job seekers who seek a reasonable accommodation to the application process. Emails sent for non-disability related issues, such as following up on an application, will not receive a response.

In your email, please include the following: (1) confirm you have a disability; (2) identify the disability-related limitation that needs to be accommodated, and (3) if known, describe the specific accommodation requested for the disability-related limitation. A response to your request may take up to three business days.

LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.
San Francisco Fair Chance Ordinance
Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.
San Francisco Fair Chance Ordinance
Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice