REGISTRIEREN

Jobbörse

Finde Jobs in deiner Nähe – ob vor Ort, hybrid oder remote.
  • Ähnliche Jobs zu: Site Reliability Engineer II
XX
Data Engineer Consultant IISwiftCruit • Springfield, Missouri, United States
Jetzt Bewerben
XX

Data Engineer Consultant II

SwiftCruit
  • US
    Springfield, Missouri, United States
  • US
    Springfield, Missouri, United States
Jetzt Bewerben

Über

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.
Job Description Allstate’s Data & Analytics Technology organization is seeking a Data Engineer to design, build, and operate scalable, reliable, and high performing data pipelines that support enterprise analytics, reporting, and advanced data use cases. In this role, you will focus on building robust batch and streaming data solutions using Apache Spark and modern cloud data platforms. Experience with Microsoft Fabric is a strong plus.
You will work closely with analytics engineers, data scientists, product teams, and platform partners to transform raw, complex data into trusted, analytics ready datasets. This role plays a critical part in enabling data driven decision making by ensuring data quality, performance, scalability, and operational excellence across the data platform.
Responsibilities
Design, build, and maintain scalable batch and streaming data pipelines using Apache Spark and cloud‑native data technologies.
Develop and optimize ETL/ELT workflows to ingest, transform, and curate data from diverse source systems into analytics‑ready datasets.
Implement data modeling and transformation logic to support reporting, dashboards, and downstream analytical and machine learning workloads.
Build and manage data processing workloads within modern lakehouse platforms, including Microsoft Fabric / OneLake (preferred).
Ensure data quality, reliability, and consistency by implementing validation checks, monitoring, and reconciliation processes.
Optimize Spark jobs for performance, cost efficiency, and scalability across large and complex datasets.
Manage and evolve data schemas while handling schema drift and upstream source changes.
Develop reusable frameworks, libraries, and standardized patterns to improve data engineering productivity and consistency.
Implement CI/CD pipelines for data workloads to enable automated testing, deployment, and rollback.
Monitor data pipelines and jobs, troubleshoot failures, and resolve performance or data quality issues.
Partner with analytics engineers, BI developers, and data scientists to understand data requirements and deliver curated datasets.
Collaborate with platform, security, and governance teams to ensure data security, compliance, and proper access controls.
Contribute to Agile delivery processes, including sprint planning, design reviews, and continuous improvement initiatives.
Required Qualifications
Strong experience as a Data Engineer building and operating production data pipelines.
Hands‑on experience with Apache Spark for large‑scale data processing.
Proficiency in Python , SQL , and data transformation best practices.
Experience with cloud‑based data platforms and storage (e.g., Data Lakes, Lakehouse architectures).
Familiarity with Microsoft Fabric , OneLake , or similar analytics platforms (strong plus).
Experience designing and optimizing data models for analytical workloads.
Understanding of distributed data processing concepts, performance tuning, and fault tolerance.
Experience with CI/CD, version control, and infrastructure‑as‑code concepts.
Strong problem‑solving skills and ability to troubleshoot complex data issues.
Excellent communication skills and ability to collaborate across technical and non‑technical teams.
2+ years of experience in data engineering or equivalent role (preferred).
Preferred / Nice‑to‑Have Skills
Experience with real‑time or event‑driven data processing.
Skills Data Analysis, Python (Programming Language)
Compensation Compensation offered for this role is 70,100.00 - 121,475.00 annually and is based on experience and qualifications.
Background Investigation The candidate(s) offered this position will be required to submit to a background investigation.
Benefits Allstate provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs.
When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload.
EEO Information Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.
For jobs in San Francisco, please click here for information regarding the San Francisco Fair Chance Ordinance.
For jobs in Los Angeles, please click here for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.
To view the EEO Know Your Rights poster click here.
To view the FMLA poster click here. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.
#J-18808-Ljbffr
  • Springfield, Missouri, United States

Sprachkenntnisse

  • English
Hinweis für Nutzer

Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.