Data Infrastructure

Data Infrastructure Engineer Jobs

2 jobs found

Today

Data Engineer

Amazon.com Services LLC Bellevue, WA

Bellevue, WA

Today

$101k - $160k/yr Full time Artificial Intelligence Aws Data Engineer Big Data

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Job Description

Build data pipelines and AI-integrated platforms for analyzing large-scale datasets while partnering with stakeholders to deliver answers to key business questions. In this onsite Data Engineer role in Bellevue, WA, you will design the tools and infrastructure that power data warehousing and ETL workflows, with a major focus on using Generative AI to improve data source discovery, pipeline development, and end-to-end data platform capabilities.

You will create practical solutions such as self-service experiences for stakeholders and intelligent agents that support Business Intelligence Engineers and Scientists in spotting emerging opportunities. The work is designed to help you see the impact of your engineering decisions firsthand, from data modeling through deployment.

Responsibilities

Design tools and infrastructure for analyzing large volumes of data
Work on big data warehousing problems
Partner with stakeholders to design and implement data solutions that address key business questions
Apply Generative AI to optimize data source discovery and pipeline development
Build intelligent agents to help Business Intelligence Engineers and Scientists identify emerging opportunities
Create self-service capabilities for stakeholders
Develop AI-integrated data platforms

Requirements

1+ years of data engineering experience
Experience with data modeling, warehousing, and building ETL pipelines
Experience with one or more query languages (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
Experience with one or more scripting languages (e.g., Python, KornShell)
Experience with big data technologies such as Hadoop, Hive, Spark, EMR
Experience with any ETL tool such as Informatica, ODI, SSIS, BODI, Datastage, etc.

Preferred Qualifications

Experience with big data technologies such as Hadoop, Hive, Spark, EMR
Experience with any ETL tool such as Informatica, ODI, SSIS, BODI, Datastage, etc.

Technologies

SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala, Python, KornShell, Hadoop, Hive, Spark, EMR, Informatica, ODI, SSIS, BODI, Datastage, Generative AI

Benefits

Sign-on payments
Restricted stock units (RSUs)
Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
Paid time off
Parental leave

Compensation: USD 101,300 - 160,000 per year

Location: Bellevue, WA (onsite)

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2d ago

Data Engineer

Community Financial System, Inc. Syracuse, NY

Syracuse, NY

2d ago

$66k - $109k/yr Full time Apache Airflow Azure Data Engineer Cloud

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Job Description

Design, build, and maintain data pipelines and data infrastructure for data-driven initiatives in Syracuse, NY.

Responsibilities

Design and implement data pipelines to extract, transform, and load (ETL) data from multiple sources into a central repository or data lake (Snowflake)
Build and maintain scalable, robust data infrastructure, including relational databases, data lakes, and distributed computing systems for large data volumes
Collaborate with data analysts to understand metrics and data needs, providing access to required datasets and data systems
Implement data validation and cleaning processes to maintain data quality and monitor pipelines for errors or anomalies
Optimize data storage and retrieval for improved performance and reduced latency using methods such as indexing, partitioning, and caching
Apply data security and privacy measures, including encryption, access controls, and compliance with data governance policies and regulations
Support additional key initiatives and related Data & Analytics projects as needed
Maintain big-picture understanding while producing detailed operational workflows, processes, and requirements
Develop and implement data models and support data modeling and warehousing requirements across the organization
Demonstrate ongoing compliance with applicable laws, regulations, policies, procedures, internal controls, and required training
Serve as an integral member of the Data & Analytics Department by providing assistance wherever needed to help the department and the bank achieve goals

Requirements

Bachelor’s Degree in Computer Science, Information Systems, or another related field
3+ years as a data engineer (minimum 3 years of proven experience)
Experience with Snowflake and DBT
Experience with ELT tools, preferably Astronomer and Apache Airflow
Experience with BI tools, preferably Power BI
Strong working knowledge of Python, SQL, and Git
Familiarity with data modeling and data warehousing concepts, preferably with modeling tools such as DBT or DataIKU
Working knowledge of cloud data warehousing, preferably Snowflake, Azure, or similar cloud infrastructure
Excellent verbal and written communication skills in a technical and user-friendly manner; ability to adapt to changing priorities
Ability to collaborate and work effectively in a team environment
Prior experience/knowledge of AI/ML practices is given preference, including leveraging advanced analytics techniques using AI and ML
Banking experience preferred

Technologies

Snowflake, DBT, Astronomer, Apache Airflow
Power BI
Python, SQL, Git
DataIKU
Azure
ETL, ELT

Compensation

USD 66,000 - 108,804 per year

Benefits

11 paid holidays
Paid vacation
Medical, Vision & Dental insurance
401K with generous match
Pension
Tuition Reimbursement
Banking discounts

Physical Requirements

May be required to stand, walk, or sit
May require use of hands and fingers, handle or feel, reach with hands or arms, and speak and hear
Occasionally may be required to lift or move up to 25 pounds
Specific vision abilities required: close vision and the ability to focus

Location: Syracuse, NY (onsite)

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