Analytics Engineering Developer Jobs

2 jobs found

Today

Software Developer - Reporting and Analytics

Motus Recruiting and Staffing Portland, OR

Portland, OR

Today

$65 - $65/hr Contract Backend Developer Analytics Analytics Engineering

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Job Description

The Software Developer - Reporting and Analytics role supports a Portland, Oregon utility provider in building and maintaining a large reporting environment. This contract position (hybrid) focuses on BI reporting design, development, testing, and troubleshooting across SQL-backed web applications.

Location and Employment Type

Location: Portland, OR (hybrid)
Job type: Contract
Compensation: USD 65 - 65 per hour

Responsibilities

Collaborate with technical team members and customers to convert internal and external user requirements into functional solutions.
Handle technical requirements, including design, development, and testing for both fixed and analytic reports.
Build static and dynamic reports from a three-tier client-server setup consisting of a web server, application server, and SQL database engine architecture.
Write scripts and adjust Microsoft Visual Studio methodology templates to enable customization of check-in policies, custom reports, and repetitive testing.
Create and modify reports and dashboards using Power BI Desktop.
Troubleshoot and communicate report interoperability issues in existing web-driven applications where SQL is used for backend data access.
Develop customer-focused BI analytics solutions.
Develop presentation layers aligned with customer requirements and applicable best practices.
Serve as a technical point of contact and oversee schedule segments to ensure milestones are completed on time, escalating issues to the team lead and project manager when required.
Coordinate issue resolution with the team lead and project manager.

Requirements

Citizenship: U.S. Citizenship required
License: Valid Driver’s License required
Education: Bachelor of Science in Information/Computer Technology (or related technical discipline) preferred
Experience: 3 years of Information Technology experience required with a Bachelor’s degree in a specified degree; 5 years required without a degree or applicable degree
Demonstrated experience required:
- Power BI Server and Power BI Desktop tool
- Microsoft Visual Studio 2019 and 2022
- SQL Server Data Tools (SSDT)
- Microsoft SQL Server 2016 and 2022 or later
- SQL Reporting Services (SSRS) 2012, 2016, and 2022
- Scripting, including VB scripting, Java Scripting, and PowerShell
- Report design and information/database design skills

Relevant Technologies

Power BI Server
Power BI Desktop
Microsoft Visual Studio 2019
Microsoft Visual Studio 2022
SQL Server Data Tools (SSDT)
Microsoft SQL Server 2016
Microsoft SQL Server 2022
SQL Reporting Services 2012, 2016, and 2022
VB scripting
Java Scripting
PowerShell

Benefits

401(k)
Dental insurance
Health insurance
Paid time off
Vision insurance

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1d ago

Data Engineer

Pika Palo Alto, CA

Palo Alto, CA

1d ago

Full time Python Analytics Engineering Big Data

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Job Description

Pika is hiring a Data Engineer in Palo Alto, CA (hybrid) to design and scale the data infrastructure behind its creative AI platform.

Responsibilities

Design, develop, and maintain scalable data pipelines and ETL workflows
Build, automate, and optimize data infrastructure for analytics, reporting, and machine learning use cases
Maintain data quality, consistency, and security across data sources and destinations
Collaborate with engineering, analytics, and product teams to define data requirements and deliver reliable datasets
Implement monitoring and proactively resolve issues in data pipelines
Optimize storage and data processing performance to support growth and efficiency
Support data modeling and schema design for analytics and product needs
Help establish best practices and enable a more data-driven culture across the organization

Requirements

4+ years of experience as a data engineer (or similar) designing, building, and maintaining data infrastructure
Strong software engineering background with proficiency in Python, SQL, and/or similar languages
Hands-on experience with data pipeline orchestration tools such as Airflow, Prefect, or Dagster
Experience with cloud data platforms including AWS and/or GCP, plus systems such as Redshift, BigQuery, or Snowflake
Knowledge of database systems, data modeling, and data warehousing best practices
Familiarity with monitoring, logging, and data quality practices for data workflows
Excellent analytical and problem-solving skills with close attention to detail
Strong communication skills and comfort working cross-functionally
Self-motivated and curious, comfortable working in a fast-paced, high-growth startup

Technologies

Python, SQL
Airflow, Prefect, Dagster
AWS, GCP
Redshift, BigQuery, Snowflake
Postgres
Go, Node.js
Redis
Docker, Kubernetes

Benefits

Competitive salary in the AI industry
Substantial equity in a fast-growing startup focused on the future of AI and creativity
Comprehensive health benefits, monthly stipends, and company retreats
Collaborative, high-growth culture with company-wide contribution to growth and success

Nice to Have

Experience supporting data for machine learning or AI-powered applications
Familiarity with real-time or streaming architectures such as Kafka or Kinesis
Prior work at high-growth startups or experience with rapid scaling
Open source, hackathon, or data engineering community experience

Our Stack

Python, Go, Node.js
Postgres, Redis
Docker, Kubernetes
AWS/GCP

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