Mid Level Data Engineer Jobs
Mid level data engineer jobs go to engineers ready to own pipelines end to end, drive architectural decisions with limited oversight, and bring junior teammates up to speed. Roles are split across on-site, remote, and hybrid settings in Technology & Software, Consulting & Professional Services, and Retail, with employers like Speechify, Amazon, and Google hiring at this level now.
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The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.
What You'll Do
- Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
- Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
- Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
- Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.
An Ideal Candidate Should Have
- BS/MS/PhD in Computer Science or a related field.
- 5+ years of industry experience in software development.
- Proficiency with bash/Python scripting in Linux environments
- Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
- Experience with web crawlers, large-scale data processing workflows is a plus
- Ability to handle multiple tasks and adapt to changing priorities.
- Strong communication skills, both written and verbal.
What we offer
- A fast-growing environment where you can help shape the company and product.
- An entrepreneurial-minded team that supports risk, intuition, and hustle.
- A hands-off management approach so you can focus and do your best work.
- An opportunity to make a big impact in a transformative industry.
- Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
- Opportunity to work on a life-changing product that millions of people use.
- Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
- Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.
Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience
Think you're a good fit for this job?
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Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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Who's Hiring
- Speechify68

- Amazon62
- Google34
- Apple33
- Booz Allen Hamilton23
Top Industries Hiring
- Technology & Software421
- Consulting & Professional Services113
- Retail91
- E-Commerce & Online Marketplaces71
- Electronics & Hardware60
Mid Level Data Engineer Jobs: Frequently Asked Questions
How do I get a mid level data engineer job?
Lead with ownership, not just participation. Highlight projects where you designed or rebuilt a pipeline, resolved production data quality issues, or introduced tooling that your team adopted. Interviewers at this level want evidence you can operate independently, so frame your experience around decisions you made and outcomes you delivered, not tasks you completed under close direction.
Which companies hire mid level data engineers?
Companies hiring mid level data engineers right now include Speechify, Amazon, and Google, based on current listings on Migrate Mate as of July 2026. Hiring at this level covers large enterprises scaling their data platforms, mid-size technology companies building out their first dedicated data teams, and data-intensive firms in finance, healthcare, and retail.
Are there remote mid level data engineer jobs?
Yes, remote and hybrid options are widely available at this level. About 41% of mid level data engineer openings are remote or hybrid as of July 2026, reflecting how well data engineering work translates to distributed teams. Searching by location preference on Migrate Mate lets you filter current openings to match your preferred work setting.
How do I move up to a mid level data engineer role?
The shift from entry level to mid level comes from accumulating real ownership over time. Building depth in a core stack, taking the lead on a project rather than a single ticket, and demonstrating that your pipelines hold up in production are the markers employers look for. Measurable impact, such as improved reliability or reduced processing time, signals readiness more clearly than years alone.
Which industries hire the most mid level data engineers?
Mid Level data engineer roles concentrate in Technology & Software, Consulting & Professional Services, and Retail, based on current listings on Migrate Mate as of July 2026. These sectors tend to drive hiring at this level because they operate at the data volumes and complexity that require engineers who can own pipeline architecture rather than simply execute on pre-defined tasks.