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Lplfinancial

7open roles
On-site mostly0/7 listings remote
3role types
AI EngineerData EngineerData Analyst

Lplfinancial is currently hiring for 7 data science, machine learning and AI roles, mostly for data engineers, data analysts and AI engineers. Openings are based in New York and Austin. The skills Lplfinancial asks for most often are AI, AWS, Python and Business Intelligence. Across 5 listings that published pay, the median advertised base salary is $170k a year. We've listed 17 roles at Lplfinancial since June 2026.

At a glance

Seniority
Junior (4) · Senior (2) · Staff (1)
Remote
0 of 7 open roles
Advertised pay
$170k median · $68k–$203k typical (5 listings, annual USD)
On the board since
June 2026 · 17 roles listed

About Lplfinancial

LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace(6) , LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses. For further information about LPL, please visit www.lpl.com.

In Lplfinancial’s own words, from its job listings

open positions

7 roles at Lplfinancial

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4d ago→
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Lplfinancial·Fort Mill/Charlotte; New York·On-site
Staff·Data Engineer·$160k – $267k
2w ago→
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Lplfinancial·New York; Fort Mill/Charlotte·On-site
Senior·Data Engineer·$127k – $212k
2mo ago→
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Lplfinancial·Fort Mill/Charlotte; Austin, TX·On-site
Junior·Data Engineer·$52k – $62k
2mo ago→
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Lplfinancial·Fort Mill/Charlotte; Austin, TX·On-site
Junior·Data Engineer·$63k – $104k
2mo ago→
no longer hiring

Past roles at Lplfinancial

Positions we’ve listed that are now closed — kept for reference.

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Lplfinancial·Fort Mill/Charlotte; Austin TX·Hybrid
Senior·Analytics Engineer·$119k – $198k
closed 4d ago→
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Lplfinancial·Fort Mill/Charlotte; Austin TX·On-site
Staff·AI Engineer·$134k – $223k
closed 6d ago→
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Lplfinancial·Fort Mill/Charlotte·On-site
Junior·Data Analyst·$42k – $52k
closed 3w ago→
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Lplfinancial·Fort Mill/Charlotte; New York, NY; Austin, TX·Hybrid
Staff·Data Engineer·$156k – $260k
closed 3w ago→
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Lplfinancial·Tempe; Fort Mill/Charlotte; Austin TX·On-site
Senior·Data Analyst·$119k – $198k
closed 3w ago→
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Lplfinancial·Fort Mill/Charlotte·On-site
Mid·Data Engineer·$83k – $139k
closed 4w ago→
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Lplfinancial·Fort Mill/Charlotte·On-site
Senior·Data Analyst·$86k – $143k
closed 1mo ago→
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Lplfinancial·Fort Mill/Charlotte; New York; San Diego; Austin TX; Tempe·Hybrid
Senior·AI Engineer·$123k – $204k
closed 1mo ago→
questions

Working at Lplfinancial: common questions

Is Lplfinancial hiring data scientists right now?

Yes — Lplfinancial has 7 open data science, machine learning or AI roles on the board, 2 of them posted in the last 30 days. The most recent was posted on October 30, 2026.

What kind of data roles does Lplfinancial hire for?

Current openings break down as Data Engineer (4), Data Analyst (2) and AI Engineer (1).

What skills does Lplfinancial look for?

The most requested skills are AI, AWS, Python, Business Intelligence, Data Pipelines and Data Quality. AI appears in 5 of 7 listings.

Does Lplfinancial offer remote data jobs?

None of Lplfinancial's current data roles are marked remote — they are based in New York and Austin.

Where is Lplfinancial hiring?

Open roles are based in New York and Austin.

What seniority levels does Lplfinancial hire at?

By seniority, openings are junior (4), senior (2) and staff (1).

How much does Lplfinancial pay data scientists?

Across 5 listings that published a salary, the median advertised base pay is $170k a year, with most falling between $68k and $203k. Figures are converted to annual US dollars and reflect advertised ranges, not confirmed offers.