Job Description

About Alethea

Please note it is preferred that applicants reside in the Washington D.C. or New York City area

Founded in 2019, Alethea is a tech company that detects and mitigates instances of disinformation and social media manipulation to help clients navigate the new digital reality. We protect clients from the threat of disinformation that targets brands, reputations, employee safety, or financial bottom lines through our industry-leading investigation and remediation services.

Job Summary:

We are seeking a highly skilled and motivated Data Engineering Manager to lead and mentor our talented team of engineers. You will be responsible for the design, development, and maintenance of our data infrastructure, ensuring that it is scalable, reliable, and efficient to support our growing data needs. You will collaborate closely with cross-functional teams, including data scientists, analysts, and product managers, to deliver data solutions that drive business impact. 

Key Responsibilities:

• Leadership and Mentorship: Provide technical and career guidance to the data engineering team. Conduct regular performance reviews and provide constructive feedback to team members.


• Data Infrastructure Development: Oversee the design, implementation, and maintenance of our data pipelines, data warehouses, and data lakes. Ensure data quality, integrity, and security across all data systems.


• Technology Selection and Evaluation: Stay abreast of the latest data engineering technologies and trends. Evaluate and select appropriate tools and technologies to enhance our data infrastructure.


• Project Management: Lead and manage data engineering projects, ensuring they are delivered on time, within budget, and meet business requirements.


• Cross-functional Collaboration: Work closely with data scientists, analysts, and product managers to understand their data needs and deliver data solutions that support their work.


• Performance Optimization: Continuously monitor and optimize the performance of our data infrastructure to ensure it meets the demands of our growing business.


• Hands-On Technical Contribution: Remain actively involved in technical work, contributing to code reviews, architecture design, and troubleshooting complex data issues. This hands-on approach will help you stay connected to the team's day-to-day challenges and provide valuable technical leadership.

Qualifications:

• Experience: 7+ years of experience in data engineering, with at least 2 years in a managerial role. Proven track record of building and managing high-performing data engineering teams.


• Technical Skills: Strong proficiency in SQL, Python, and data pipeline tools (e.g., Airflow, Kafka). Experience with AWS and data warehousing technologies (e.g., Snowflake, Redshift, BigQuery).


• Leadership Skills: Excellent communication, interpersonal, and leadership skills. Ability to motivate and inspire team members to achieve their full potential.


• Problem-Solving Skills: Strong analytical and problem-solving skills. Ability to identify and resolve complex data engineering challenges.


• Passion for Data: A genuine passion for data and its potential to drive business insights and innovation.

Startup Experience: Startups aren’t for everyone so having venture backed startup experience is necessary.

Compensation and Benefits: 

• Salary and stock options are negotiated based on experience. 


• Healthcare at the gold-tier level, dental, and vision is fully funded by the employer. 50% of dependent coverage is provided by the employer. Additional benefits include employer provided life, AD&D insurance, and an Employee Assistance Program with a variety of services, including generous Mental Wellbeing support. 


• Flexible vacation, sick leave, including office closure between Christmas and New Year’s, and extended holidays at Thanksgiving and the 4th of July.


• Employees may also participate in an Employer sponsored 401k, after their 6-month anniversary, with a 3% match. Health Savings (HSAs) and flexible spending accounts (FSAs) are also offered.


• Hybrid work environment, with 3 days per week required in office in Washington, D.C or New York.

The salary range for this entry level position is $168,000 to $214,000 per year, depending on the candidate’s skills, experience, and qualifications. In addition to cash compensation, this role is eligible for a stock option grant. Further, we offer comprehensive benefits, including flexible PTO, health, dental and vision plans, and generous company holidays. From time to time, employees may also be provided with opportunities for professional growth, development, and advancement.

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