Prefect

Prefect Engineer Jobs

3 jobs found

6d ago

Data Engineer

Centro, Inc North Liberty, IA

North Liberty, IA

6d ago

Full time Apache Airflow Data Analysis Data Analytics

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Job Description

Centro, Inc is seeking a Data Engineer to design, build, and maintain the organization’s data infrastructure and pipelines that support reporting, analytics, and decision making. This role operates within Centro’s Harbor data platform to convert data into actionable information that informs business decisions. The position is based on site in North Liberty, Iowa.

Location

North Liberty, IA (onsite)

Responsibilities

Design, build, and sustain ETL pipelines to support enterprise reporting and analytics.
Create and manage data workflows across extraction, change data capture, transformation, and loading stages.
Schedule and trigger workflows for both routine and on-demand runs using Prefect.
Consolidate data from ERP, manufacturing, and business systems into centralized data platforms.
Stage and transform source data in MongoDB environments and load curated datasets into Microsoft SQL Server.
Apply incremental processing strategies using Redis-based CDC methodologies.
Transform complex, nested, and multi-value data into relational models optimized for reporting and analytics.
Develop and maintain dbt models, data tests, and related documentation.
Monitor pipeline performance and troubleshoot data quality issues, schema changes, and workflow failures.
Collaborate with business stakeholders to capture data requirements and design scalable solutions.
Produce and maintain technical documentation, operational procedures, and support resources.
Identify opportunities to automate manual processes and enhance data delivery efficiency.
Ensure data accuracy, consistency, security, and reliability across systems.
Keep current with emerging data engineering technologies, tools, and best practices.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related field, or an equivalent combination of education and experience.
Proven experience designing, building, and supporting production data pipelines.
Proficiency in SQL and Python for enterprise data processing and integration tasks.
Experience working with structured, semi-structured, and unstructured data.
Demonstrated ability to troubleshoot and optimize data workflows and performance.
Strong analytical, organizational, and problem-solving abilities.
Effective written and verbal communication skills.
Ability to manage multiple priorities and adapt to evolving business needs.

Technologies

SQL
Python
Prefect
MongoDB
Microsoft SQL Server
Redis
dbt
Docker
Apache Airflow

Physical Requirements & Work Environment

Primarily office-based work performed in a professional business environment.
Occasional exposure to manufacturing environments, including production floor areas.
Ability to sit, stand, walk, and use computer equipment for extended periods.
Occasional travel may be required.
Typical schedule is Monday through Friday, 8:00 a.m. to 5:00 p.m., with flexibility as business needs require.

Why Join Centro?

Centro is a leader in rotational molding with a longstanding emphasis on innovation, quality, and employee development. The company fosters a collaborative environment where team members influence business processes and support strategic growth through technology and data‑driven decision making.

Equal Opportunity Employer

Centro is an Equal Opportunity Employer.

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9d ago

Principal / Sr Principal Data Analytics Engineer

Northrop Grumman Melbourne, FL

Melbourne, FL

9d ago

$98k - $184k/yr Full time Senior Analytics Apache Airflow

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Job Description

Northrop Grumman is seeking a Principal / Senior Principal Data Analytics Engineer for a hybrid role based in Melbourne, Florida. This position focuses on designing and building automated end-to-end ETL pipelines and analytics solutions, collaborating with stakeholders to advance analytics capabilities and deliver impactful insights in a complex, cross-functional environment.

Responsibilities

Architect, develop, and maintain scalable data pipelines and ETL processes across multiple data sources.
Design and optimize analytics-ready data models, including star, snowflake, and data vault schemas for reporting.
Establish robust data quality, validation, and monitoring frameworks to ensure the reliability of downstream insights.
Collaborate with data scientists, product managers, and business stakeholders to translate analytical requirements into technical specifications.
Create reusable, documented analytics code libraries and SDKs to accelerate self-service analytics.
Institute practices in version control, testing, and CI/CD for data workflows.
Evaluate emerging data technologies and recommend improvements to the analytics stack.
Ensure compliance with data governance, security, and privacy policies, including GDPR and CCPA.
Develop and maintain Tableau dashboards, KPI scorecards, and ad-hoc querying tools for executive and operational audiences.

Requirements

Bachelor’s degree in a STEM field with 5 years of experience in data engineering, analytics engineering, or a related field, OR Master’s degree with 3 years of experience in data engineering, analytics engineering, or a related field.
Bachelor’s degree in a STEM field with 8 years of experience in data engineering, analytics engineering, or a related field, OR Master’s degree with 6 years of experience in data engineering, analytics engineering, or a related field.
Strong proficiency in SQL and Python.
Proficiency developing and deploying Tableau dashboards and translating business needs into visual insights.
Experience with version control and Agile software development.
Strong problem-solving skills, attention to detail, and ability to work in fast-paced, cross-functional teams.
Excellent written and verbal communication skills to convey technical concepts to non-technical stakeholders.
Active US Government Secret clearance required to apply, with ability to obtain Special Access Program (SAP) clearances.

Technologies

SQL
Python
Tableau
Airflow
dbt
Dagster
Prefect
Databricks
Denodo
Snowflake

Benefits

Overtime eligibility
Shift differential
Discretionary bonus
Annual bonuses
Long Term Incentives
Health insurance coverage
Life and disability insurance
Savings plan
Company paid holidays
Paid time off (PTO)

Relocation

Relocation assistance may be available

Clearance

Clearance for start: Yes
Clearance type: Secret

Travel

Travel: Yes, 10% of the time

Compensation ranges

Primary level salary range: $98,400.00 - $147,600.00
Secondary level salary range: $122,800.00 - $184,200.00

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21d ago

Data Engineer

Crumbl Provo, UT

Provo, UT

21d ago

Full time Cloud Cloud Platform Data Architecture

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Job Description

Based at Crumbl HQ in Provo, Utah, this Data Engineer role focuses on designing, building, and maintaining scalable data pipelines with dbt and Prefect to support data-driven decision making across the organization.

Responsibilities

Design, implement, and maintain scalable data pipelines using ELT/ETL extraction methods to ensure reliability.
Collaborate with data scientists, analysts, and other stakeholders to capture data requirements and uphold data quality.
Create and maintain documentation such as data dictionaries, workflow diagrams, and data flow diagrams.
Safeguard data integrity and security through appropriate controls and ongoing monitoring.
Optimize pipelines for efficient processing and improved query performance.
Implement and enforce data security policies, including access controls, encryption, and data masking.
Design and implement data processing workflows with dbt and Prefect to support data science and machine learning initiatives.
Develop and maintain data ingestion pipelines to bring external data into the organization’s data environment.
Identify performance bottlenecks in pipelines and collaborate with infrastructure and operations teams to optimize performance.
Test and validate data pipelines to verify correct operation and alignment with business requirements.
Participate in code reviews and help establish engineering best practices.
Stay informed about emerging data engineering and data science technologies and identify opportunities to adopt them internally.

Requirements

Bachelor’s or Master’s degree in Data Science, Information Systems, or a related field
3+ years building and maintaining production data pipelines (degree in a related field or equivalent experience)
Advanced SQL including window functions, CTEs, and performance tuning on large datasets
Strong Python for data engineering with modular, testable pipeline code
Hands-on dbt experience: models, tests, macros, and incremental materializations
Production Snowflake experience: schema design, performance tuning, and warehouse/cost optimization
AWS data services such as S3, Glue, and Lambda
Data quality and observability with dbt plus Elementary
Infrastructure as code with Terraform and version control with Git
Dimensional data modeling (star/snowflake schemas, SCDs) and lakehouse concepts
Strong problem-solving skills and clear communication with analysts, scientists, and stakeholders

Technologies

dbt
Prefect
SQL
Python
Snowflake
AWS S3
AWS Glue
AWS Lambda
Terraform
Git
Elementary

Benefits

Medical, dental, and vision benefits
15 days PTO per year
10 paid holidays
Paid parental leave
Personal phone bill reimbursement
Gym reimbursement
Corporate DoorDash DashPass membership
Regular company and team activities
401k with competitive matching contribution plan
Excellent opportunities for career growth
Work in a hyper-growth company

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