Dataops Jobs

2 jobs found

Today

Data Analytics Engineer

D'Addario & Company Farmingdale, NY

Farmingdale, NY

Today

$115k - $130k/yr Full time Analytics Azure Data Lake Azure Platform

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Job Description

D’Addario & Company is hiring a hands-on Data Analytics Engineer to strengthen its Business Intelligence team and support the build-out of a production-ready global data infrastructure. This hybrid role in Farmingdale, NY focuses on designing and operating ELT/ETL pipelines and analytics-ready data models that power reporting and self-service BI.

What you’ll do

Design, implement, and maintain robust, high-performance ELT/ETL data pipelines within Microsoft Fabric and the broader data environment.
Connect and harmonize new data sources, including ERP, e-commerce platforms, and external APIs, into a centralized data platform.
Transform raw data into clean, well-structured dimensional models, data marts, and reusable datasets (such as star schemas) for analysis-ready reporting and self-service analytics.
Build and maintain semantic models and standardized metric definitions in Power BI and Microsoft Fabric so teams work from a single, trusted source of truth.
Implement automated testing, validation, and monitoring to ensure accuracy, reliability, and documentation for pipelines and datasets.
Partner with analysts and stakeholders across Sales, Marketing, Operations, and Product to translate business needs into dependable data products.
Contribute to improving team standards for coding, documentation, version control, and DataOps across data engineering and analytics workflows.

What you bring

3+ years of hands-on experience as a Data Engineer, Analytics Engineer, or equivalent.
Experience building and maintaining production-grade data pipelines and analytics data models.
Proficiency in Python, PySpark, and SQL.
A Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent professional experience).

Technologies you’ll work with

Microsoft Fabric, ELT, ETL, ERP, Power BI
Python, PySpark, SQL
Azure Synapse, Azure Data Lake, Azure
dbt, Star schema, Kimball, DataOps

Compensation

Base salary range: $115,000 - $130,000 per year, commensurate with experience, skills, and qualifications.
Discretionary annual bonus eligibility, in accordance with company policy.

Benefits

401(k) Retirement Plan: employer Safe Harbor contribution of 3% of total annual earnings, with opportunity to earn up to an additional 7% in employer Discretionary contributions, regardless of employee contribution level.
Health, vision, and dental insurance.
12 weeks of fully paid parental leave.
Fertility and family-building benefits.
Annual performance and compensation reviews.
Career pathing and professional development via LinkedIn Learning.
Generous allotment of PTO days.
Flexible sick day policy.
12 paid holidays.
Life and AD&D insurance.
Enhanced short-term disability insurance.
Employee Assistance Program (EAP).
Tuition reimbursement.
Discounts on D’Addario products and merchandise.
Company jam nights, artist performances, holiday parties, and special events.
A passionate, talented team that loves what they do!

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Today

Senior IT Data Engineer

System One Washington, DC

Washington, DC

Today

Contract Senior Apache Airflow AWS

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Job Description

Senior IT Data Engineer contract role supporting the Federal Reserve Board’s Division of Research & Statistics (R&S) DATA section in Washington, DC (onsite).

Responsibilities

Expand and optimize data and data pipeline architecture.
Optimize data flow and data collection for economic policy and research teams.
Design and develop data delivery architecture for optimal performance and delivery.
Improve existing data systems and/or build new systems from the ground up.
Optimize or redesign the R&S division’s data architecture to support next-generation data initiatives.
Support economists and technical experts.
Provide service-minded support across multiple teams and systems with a self-directed approach.
Design and communicate enterprise information architecture across conceptual, logical, and physical levels.

Requirements

Bachelor’s degree in computer science, Information Technology, Engineering, or a related technical field, plus at least 7 years of related experience; advanced degree preferred.
Advanced working knowledge of SQL.
Experience with relational database platforms including PostgreSQL, Microsoft SQL Server, and MySQL.
Advanced working knowledge of Python, R, and other scripting languages used for data engineering and analytics.
Experience with large-scale data systems: distributed computing, scalable data processing, data storage architecture, and optimization for high-volume workloads.
Experience designing, developing, and automating ETL/ELT workflows and data integration pipelines.
Experience building, optimizing, and maintaining scalable databases, data pipelines, and data processing frameworks.
Experience with workflow orchestration and pipeline automation tools such as Apache Airflow, Prefect, Dagster, or AWS Step Functions.
Experience migrating workflows and data pipelines between on-premises and cloud environments.
Experience processing, analyzing, and integrating structured and unstructured data sources.
Experience developing in Linux environments and using source control platforms such as GitLab and/or GitHub.
Ability to perform root cause analysis on internal and external data and business processes to answer business questions and identify improvement opportunities.
Ability to design and communicate enterprise information architecture at conceptual, logical, and physical levels.
In-depth experience designing and implementing database, data lake, and enterprise data platform solutions.
Strong hands-on software engineering and implementation experience, including development, testing, and deployment of data applications and services.
Excellent oral and written communication skills with a strong customer service orientation.
Exceptional analytical, problem-solving, and troubleshooting skills.
Understanding of time series data and related analytical and forecasting techniques.
Experience working in a research environment and/or with economic or financial data.
Experience with NoSQL and graph database technologies.
Experience developing, training, deploying, and maintaining machine learning models.
Working experience with cloud technologies such as AWS, Microsoft Azure, and Snowflake.
Experience implementing data warehouses utilizing Change Data Capture (CDC) methodologies.
Experience implementing and maintaining CI/CD pipelines and DataOps platforms.
Working knowledge of additional programming and scripting languages such as Java, Scala, JavaScript, or Perl.

Technologies

SQL
PostgreSQL
Microsoft SQL Server
MySQL
Python
R
Apache Airflow
Prefect
Dagster
AWS Step Functions
Linux
GitLab
GitHub
NoSQL
Graph database technologies
Machine learning models
AWS
Microsoft Azure
Snowflake
Change Data Capture (CDC)
CI/CD pipelines
DataOps
Java
Scala
JavaScript
Perl

Benefits

Eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans.
Participation in a 401(k) plan.

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