Data Engineer

Accenture

Confirmed live today High trust

Remote

Quick summary

Work type: Remote
Location: Mountain View, CAMilwaukee, WIDallas, TXColumbus, OHKirkland, WACincinnati, OHNew York, NYCleveland, OHOklahoma City, OKAustin, TXAlbany, NYChicago, ILSt. Pete, FLHartford, CTPittsburgh, PASt. Louis, MOMiami, FLSacramento, CARaleigh, NCMinneapolis, MNScottsdale, AZSan Francisco, CAMorristown, NJDenver, COBoston, MAPhiladelphia, PADes Moines, IAOverland Park, KSLos Angeles, CACharlotte, NCWalnut Creek, CACarmel, CASeattle, WAHouston, TXArlington, TXAtlanta, GAOrlando, FLRedmond, WABentonville, ARBeaverton, ORNashville, TNDetroit, MISan Diego, CA
Employment: Full-time
Posted: 4 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $165k

$117k most similar roles pay here $214k

This listing doesn't post a salary. Most similar roles pay $126,800–$203,150.

Based on 240 similar postings.

Employer

About Accenture

Accenture is a leading global professional services company specializing in IT, strategy, consulting, and operations, with a strong focus on digital transformation, cloud computing, and artificial intelligence.

Accenture currently has 184 open roles on FindRole.

Listed pay typically runs $94,400–$266,300 across 160 roles with salary data.

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At a glance

TL;DR · Data Engineer

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As a Data Engineer, you will join a team focused on designing, developing, and maintaining data solutions that support data generation, collection, and processing. Your daily responsibilities include creating robust data pipelines, ensuring high data quality, and implementing extract, transform, and load processes to migrate and deploy data across various systems. You will serve as a subject matter expert, collaborating with cross-functional teams to manage technical decisions and solve complex problems impacting multiple groups. The role requires advanced proficiency in Python, SQL, Data Pipelines, and Data Processing to conduct routine and ad hoc analyses of legacy products and new features. Additionally, you will build reporting dashboards to track campaign KPIs and analyze large datasets to identify drivers of marketing engagement while managing the end-to-end development of analytics tooling.

What does a Data Engineer earn in California?

Median $198275 from 41 postings across 18 companies.

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Skills

Data Engineering Python SQL Data Pipelines Data Processing Data Architecture Reporting Dashboards QA Testing

What you'll do

Design, develop, and maintain data solutions for generation, collection, and processing.
Create data pipelines and implement ETL processes to migrate and deploy data across systems.
Use Python and SQL to engineer data pipelines and perform analysis on large datasets.
Build reporting dashboards and visualizations to track campaign program KPIs.
Project manage the end-to-end development of analytics tooling features from intake to QA testing.
Serve as a subject matter expert to provide technical guidance and solve problems impacting multiple teams.
Consult with marketers and stakeholders to identify and fulfill their specific data and reporting needs.

What we're looking for

Minimum 4 years of experience with advanced proficiency in Data Engineering.
Advanced proficiency with Python, SQL, Data Pipelines, and Data Processing.
High School Diploma or GED.
Expert proficiency in Data Pipelines and Data Processing (preferred).

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