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IT Data Engineer

Anew Climate
Houston, Texas
Full Time
Posted July 8, 2025
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Job Description

A Data Engineer at Anew is responsible for designing, building, and maintaining scalable data infrastructure and pipelines to support data-driven initiatives, ensuring data quality, security, and accessibility for analysis and decision-making in a sustainable, climate-focused organization.

Key Responsibilities

  • Design and implement ETL/ELT data pipelines to move data from various sources into data repositories
  • Create and maintain scalable data pipelines for large volumes of structured and unstructured data
  • Automate data collection, processing, and delivery workflows through scripting and coding
  • Monitor, troubleshoot, and optimize data pipelines for performance and reliability
  • Design, select, and maintain data architecture, storage solutions, and data models
  • Evaluate and implement new data technologies and tools to improve infrastructure
  • Manage cloud-based data solutions using Azure platform
  • Ensure data quality, integrity, security, and compliance through validation, governance, and access controls
  • Provide data access tools such as dashboards, analytics tools, and APIs for end-users
  • Document technical designs, workflows, and processes related to data infrastructure

Requirements

  • Design and implement robust Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) pipelines to move data from various sources such as databases, APIs, streaming sources, and external data providers into data warehouses, data lakes, or other data repositories.
  • Create efficient and scalable data pipelines capable of handling large volumes of structured and unstructured data.
  • Write code and scripts to automate repetitive tasks in data collection, processing, and delivery.
  • Continuously monitor pipeline performance, identify and resolve data-related issues, errors, and performance bottlenecks.
  • Design and maintain data architecture by selecting appropriate technologies for data storage such as relational databases (e.g., PostgreSQL, MySQL, SQL Server), NoSQL databases (e.g., MongoDB, Cassandra), data lakes, data warehouses, and cloud storage services, as well as designing efficient data models and schemas.
  • Ensure data is stored in a way that allows for high-performance queries and efficient analytical and operational use cases.
  • Research and implement new data technologies, tools, and frameworks to improve data infrastructure and processes.
  • Proficiency in Azure cloud platform for deploying and managing data solutions in the cloud.
  • Implement data quality and integrity measures by applying validation rules, cleansing procedures, and monitoring systems to detect and rectify anomalies.
  • Define standards and policies for data governance to ensure data consistency, reliability, and compliance with regulations such as GDPR and HIPAA.
  • Manage data security and access by implementing security controls and access management policies to protect sensitive information from unauthorized access or theft.
  • Set up dashboards, analytics tools, and API endpoints to make processed data accessible to end-users and applications.
  • Create comprehensive documentation for data pipelines, architecture, and processes to facilitate system transparency.
  • Provide support for data-driven decision making by delivering clean, reliable, and accessible data.
  • Strong knowledge of programming languages such as Python, Java, and SQL.
  • Experience with relational database systems like PostgreSQL, MySQL, SQL Server, and NoSQL databases such as MongoDB and Cassandra.
  • Experience with data warehousing platforms such as Snowflake.
  • Proficiency with ETL tools such as Snowflake and Databricks.
  • Experience with cloud platforms, specifically Azure Suite.
  • Experience with big data technologies including Hadoop, Spark, Kafka, and Hive.
  • Ability to design efficient data models and schemas.
  • Skills in scripting and automation for data processes.

Benefits & Perks

Compensation/salary range not specified
Work schedule not specified
Work environment perks not specified
Equal employment opportunity and inclusive workplace policies

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