Lifescale Analytics · 3 hours ago
Senior Environmental Data Engineer
United States
Full-time
Remote
Mid, Senior Level
3+ years expLifescale Analytics is seeking a Senior Environmental Data Engineer to design, build, and optimize data pipelines and architectures supporting high-quality environmental and analytics data. The role involves developing and maintaining ETL workflows and data quality controls while collaborating with data scientists and analysts to transform raw data into analysis-ready datasets.
AnalyticsConsultingSoftware
No H1B
Security Clearance RequiredU.S. Citizen OnlyHiring Manager
Sara Giergielewicz
Responsibilities
Design, implement, and maintain robust data pipelines and architectures in Alteryx Designer
Create and maintain logical data models in Oracle SQL Developer Data Modeler
Read, write, and update data
Create and maintain ETL code repository
Perform ad hoc data cleansing of data sets as needed
Develop and implement data quality control procedures to ensure the accuracy, completeness, and consistency of environmental data
Define data quality standards and metrics
Execute procedures to monitor data quality
Identify data issues and propose remediation plans
Optimize data processing workflows and algorithms for efficiency, scalability, and reliability
Ensure compliance with data privacy regulations and security best practices in data handling, storage, and transmission
Stay current with emerging technologies, tools, and methodologies in data engineering and environmental science
Collaborate with data scientists and analysts to optimize models and algorithms for data quality, security, and governance
Monitor and tune data systems, identify and resolve performance bottlenecks, and implement caching and indexing strategies to enhance query performance
Transform raw data into a usable format by applying data cleansing, aggregation, filtering, and enrichment techniques
Establish the governance of data and algorithms used for analysis, analytical applications, and automated decision making
Provide leadership, guidance, and mentorship to junior staff members and colleagues, fostering a culture of continuous learning, innovation, and excellence in D&A practices
Additional responsibilities as requested by the client
Qualification
Required
3-5 years' experience in data engineering, including designing and implementing data pipelines and ETL processes
Ability to determine work priorities and ensure proper completion of work assignments
Experience with implementing data warehouses, data lakes, or data lakehouses
Knowledge of relational database design and data modeling
Strong analytical and problem-solving skills, with the ability to analyze complex datasets and extract actionable insights
Proficiency in programming languages such as Python and SQL
Bachelor's or master's degree in Data Science, Environmental Science, Information Science, or other Information Technology major, or equivalent work experience
Ability to communicate effectively, both verbally and in writing
Ability to work independently
Ability to establish and maintain effective working relationships with others
Preferred
3-10 years' experience with Alteryx Designer
Familiarity with environmental science, water quality, or related fields
Experience with business intelligence tools such as Qlik Sense
Company
Lifescale Analytics
Lifescale Analytics (LSA) provides specialized expertise in data and analytics to help accelerate research and development processes.
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
Brian Carnell
Chief Information Officer
Recent News
2024-02-08
2022-01-05
Company data provided by crunchbase