Project Management for Data Engineers

A failed job is an incident, not a conversation

A pipeline breaks overnight, a transform job fails silently, a source stops sending data, whatever the specific shape, the moment it happens the clock starts. Someone gets paged, someone patches it, and the pipeline is green again by morning. That part usually works fine, because it has to.

What usually doesn't work is the second half: the actual fix. The change that stops it happening again, the schema migration that needs coordinating with another team, the retry logic that was supposed to get written "once things calm down." That gets agreed on out loud in the incident channel and then buried under the next fifty messages about something else entirely. Six weeks later the same job fails the same way, for the same reason, and somebody says "didn't we already fix this?"

The pattern repeats because the incident channel is built for speed during the incident, not for follow-through afterward. Once the pager stops going off, the sense of urgency goes with it, and the actual root-cause fix competes for attention against every other unstarted ticket, except it has no ticket, just a paragraph someone typed at 3am that everyone has since scrolled past.

ShipSprint isn't a pipeline tool, it has no view into your DAGs, no job scheduler, no catalog of tables. What it does is give the follow-up from an incident an owner and a due date that outlives the Slack thread it was born in.

What a follow-up looks like in practice

The job that failed overnight gets patched by nine. Before the channel moves on to the next topic, the agreed fix, add a schema check before the load step, becomes a task with an owner and a two-week due date, linked to the incident write-up on the wiki. It sits on the board next to the sprint's planned work, competing honestly for the same capacity instead of living in a separate mental category called "things we should probably get to."

Two weeks later, the forecast has already flagged that the fix is behind, because it was never actually started, the on-call week ate the time that was meant for it. That's a schedule conversation the team can have on day nine, not a surprise on day fourteen when the same job fails a second time.

None of this requires a separate incident-management process bolted on top of how the team already works. It's the same board, the same sprint, the same forecast. The incident's fix is just a task like any other, with the context of why it exists sitting one click away on the wiki page instead of scattered across a channel history nobody reads back through.

Multiply that one incident by a quarter's worth of them, and the wiki turns into something closer to an institutional memory of what actually breaks and why. Teams running this pattern on ShipSprint for a couple of quarters usually notice the same thing: the "didn't we already fix this?" question stops coming up, because the answer is one search away instead of buried in a channel nobody scrolls back through.

What ShipSprint isn't tracking

Worth being specific about the boundary: ShipSprint has no integration with orchestration or data-catalog tools, and it doesn't monitor pipeline runs, job status, or data quality. If a job fails, ShipSprint has no idea until a person tells it, by opening a task for the fix.

That's deliberate. Run monitoring and orchestration are solved problems elsewhere, handled by tools purpose-built for exactly that job, and duplicating them badly here would just make ShipSprint a worse version of something that already exists. What ShipSprint tracks is what happens after the alert: who owns the fix, when it's due, and where the write-up lives once it's done.

No monitoring of the engineers either

Same principle applies to the people as to the pipelines. No screenshots, no keystroke logging, no activity tracking, on-call doesn't get judged on hours staring at a terminal, and nobody's productivity score drops because a 2am page ate their morning and their focus for the rest of the day along with it.

Scorecards are leave-adjusted and visible to the person they describe, built from delivered work and logged time, not from presence or how many hours a laptop happened to be open.

One subscription, not a separate tool per team

Engineering runs on sprints, story points and the GitHub integration above; HR, marketing and operations run on their own templates in the same workspace, so the platform team isn't paying for a different tool than the rest of the company. ShipSprint also connects to Claude and ChatGPT, so "what caused last month's failed jobs, and are the fixes done" can be a question in plain language instead of a dashboard someone has to build and maintain.

Pricing

• Free: up to 5 users and 2 projects, forever. Enough to run the on-call follow-up board for a small platform team.
• Team: ₹299 per user per month, or ₹2,899 per user per year, up to 40 users.
• Business: ₹599 per user per month, or ₹6,499 per year. Adds forecasts, scorecards and the owner command center.
• Every paid plan opens with a 14-day full-access trial on Business, a sample project preloaded, no card required.