Data Infrastructure

Data Infrastructure Developer 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 that help teams analyze large volumes of data. In this onsite role in Bellevue, WA, you’ll design the tools and infrastructure behind data warehousing, partner with stakeholders to shape solutions for key business questions, and apply Generative AI to improve data source discovery and pipeline development.

This position emphasizes hands-on engineering impact. As a Data Engineer, you’ll use technology to tackle complex problems while delivering capabilities that support stakeholders with self-service and intelligent assistance.

What you’ll do

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

Key requirements

1+ years of data engineering experience
Experience with data modeling, warehousing, and building ETL pipelines
Experience with one or more query languages, such as SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, or Scala
Experience with one or more scripting languages, such as Python or KornShell

Preferred qualifications

Experience with big data technologies including Hadoop, Hive, Spark, or EMR
Experience with ETL tools such as Informatica, ODI, SSIS, BODI, or Datastage

Benefits

Sign-on payments
Restricted stock units (RSUs)
Health insurance including medical, dental, vision, prescription, Basic Life & AD&D, plus options for Supplemental life plans
EAP and 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).

Technologies you may work with: SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala, Python, KornShell, Hadoop, Hive, Spark, EMR, Informatica, ODI, SSIS, BODI, Datastage, Generative AI.

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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

Community Financial System, Inc. is hiring a Data Engineer for an onsite role in Syracuse, NY. This position focuses on building and maintaining reliable data pipelines and architectures, helping the Data & Analytics Department deliver data-driven initiatives with dependable performance and strong data quality. The salary range is USD 66,000 - 108,804 per year.

What You’ll Do

You will design, build, and maintain data pipelines and data infrastructure that integrate information from multiple sources and support a central data repository or data lake in Snowflake. You will work closely with data analysts to understand metrics and data needs, provide access to the right datasets and systems, and support ongoing analytics requirements.

Design and implement ETL pipelines to extract, transform, and load 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 volumes of data
Implement data validation and data cleaning processes, and monitor pipelines for errors or anomalies
Optimize storage and retrieval to improve performance and reduce latency using techniques such as indexing, partitioning, and caching
Implement data security and privacy measures, including encryption, access controls, and adherence to data governance policies and regulations
Support additional key initiatives and related DA projects as needed
Balance high-level system thinking with detailed operational workflows, processes, and requirements
Maintain ongoing compliance with applicable laws and regulations, internal controls, policies, procedures, and training requirements
As part of the Data & Analytics Department, assist wherever needed to help the department and the bank achieve their goals

You will also apply strong technical depth across tools and SQL environments, developing data models as required across the organization and supporting modern data transformation workflows.

Required Skills & Experience

Bachelor’s degree in Computer Science, Information Systems, or a related field
3+ years as a data engineer (minimum)
Experience with Snowflake and DBT
Exposure to 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, preferably using tools such as DBT or DataIKU
Working knowledge of cloud data warehousing, preferably Snowflake, Azure, or similar infrastructure
Excellent verbal and written communication skills, with the ability to present technical information in a user-friendly way and adapt to changing priorities
Ability to collaborate and work effectively in a team environment
AI/ML experience is given preference, with primary responsibility to leverage advanced analytics techniques, particularly AI and machine learning (ML)
Banking experience preferred

Technology Focus

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

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
Use hands and fingers, handle or feel, reach with hands or arms, and speak and hear
Occasionally required to lift and/or move up to 25 pounds
Specific vision abilities required, including close vision and the ability to focus

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